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37 fully funded phd programs at tu delft, netherlands.

Are you holding Master’s degree and looking for fully funded PhD positions? TU Delft, Netherlands invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.

Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal. 

1. Fully Funded PhD Position in biodegradable sensors for environmental monitoring

Summary of phd program:.

The goal of our group at TU Delft is to develop biodegradable MEMS (Micro-Electro-Mechanical Systems), a new class of microsystems made entirely of biodegradable materials, including sensors, actuators and electronics. They can be used in many fields such as medicine or environmental monitoring, thus addressing crucial societal challenges.

Application Deadline: June 15, 2023

2. fully funded phd position in implementing smart sic power modules for the automotive energy transition.

Using SiC switches and smart power modules in electric vehicles (EVs) can significantly improve the efficiency and performance of the vehicle’s power electronics systems. SiC switches offer lower switching losses and higher temperature tolerance compared to traditional silicon-based switches, which can result in higher efficiency and power density of the EV’s inverter. Smart power modules integrate power semiconductor devices, gate drivers, protection circuits, and other components in a compact package, which can simplify the design and reduce the size and weight of the EV’s power electronics system. By incorporating SiC switches and smart power modules in EVs, manufacturers can improve the vehicle’s range, acceleration, and overall performance while reducing energy consumption and environmental impact.

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3. Fully Funded PhD Position in Heterogeneous Integration Technology in Power Modules

State-of-the-art power modules have significant shortcomings that limit the maximum energy efficiency and the lifetime of SiC power MOSFET semiconductors. This is a roadblock for smart, safe and green e-mobility. With our unique semiconductor ecosystem shared between a major semiconductor company and TU Delft, we are convinced that these roadblocks can be removed with research aimed at finding new key differentiating technologies.

4. Fully Funded PhD Position in Design for Reliability of Power Electronics

The candidate will be expected to conduct experiments and simulations to characterize the mechanical behavior of SiC power modules, identify failure mechanisms, and develop models to predict their lifetime under various operating conditions. The candidate will also be responsible for contributing to the development of new packaging solutions and collaborating with other researchers and engineers in the project.

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5. fully funded phd position in musical robot for people with dementia.

The PhD-candidate will join the QoLEAD project, a unique interdisciplinary collaborative network for the co-creation of intelligent personalized support for people with dementia (PwD). This position is at the Interactive Intelligence group of TU Delft, with a tight connection to the Music, Brain, Health & Technology (MBHT) lab of University Leiden (Rebecca Schaefer, the head of the lab, will co-supervise the PhD). Furthermore, the PhD-research is part of a work package that develops a “social agent and robot framework”, in which TU Delft closely collaborates with the Radboud University, RU (i.e., the concerning RU PhD-student and supervisors who focus on a supportive virtual agent).

Application Deadline: June 19, 2023

6. fully funded phd position in 3d super-resolution microscopy.

We are looking for a candidate with a strong background in physics or in a physics related discipline. Expertise in computational techniques, with a focus on developing theory and running simulations and data analyses is necessary. Good programming skills in e.g. Matlab, Python, C, or Cuda, is also expected. Experience in any branch of optical imaging is highly welcomed, but not strictly necessary. Above all, we are interested in candidates with a passion for making methodological advances in science and technology.

Application Deadline: Open until filled

Looking for more funded phd programs click here, 7. fully funded phd position in integrated smart gate driver for sic inverters in ev.

SiC inverters are an essential part in the EV motor system. As SiC technology is still not very matured nowadays, a smart gate driver to drive the transistors efficiently while monitoring the state-of-health would be beneficial. Meanwhile, issues related to EMI, over-voltage/current protection, short-circuit protection should also been taken care of. In this project, a highly integrated, multi-functional smart gate driver will be proposed to tackle these issues.

Application Deadline: July 3, 2023

8. fully funded phd position in processing and learning over dynamic graphs  .

In this PhD project, you will develop novel signal processing and machine learning theory for data over dynamic graphs leveraging insights from graph machine learning signal processing, graph neural networks, and graph representation learning. Such techniques will be applied to recommender systems and water networks.

The project will be carried out in the research group of Dr. E. Isufi, in collaboration with researchers at the faculty of EEMCS and Aidrolab. Dr. Isufi’s group at TU Delft works on fundamental research on graph signal processing and graph machine learning. We focus on both theoretical and applied research especially to recommender systems (in the Multimedia Computing Group) and water networks (in Aidrolab).

Application Deadline: July 16, 2023

Get professional job ready & in-demand career certificates, 9. fully funded phd position in edge-ai-assisted advanced phenotyping.

Precision agriculture, which employs sensing technology and artificial intelligence to drive automated agriculture processes and decisions, has demonstrated great potential to improve efficiency, transparency, and productivity in the sector. For example, automated crop monitoring in greenhouses can be carried out collaboratively in real time using handheld devices and autonomous robots to collect data and monitor crop health. While AI has shown promise in many context-sensing tasks, realizing the full potential of AI for automated crop monitoring requires overcoming several research challenges. These include designing computationally efficient deep learning solutions for resource-constrained edge devices and addressing the sparse data problem in training robust monitoring systems.

Application Deadline: July 31, 2023

Top 10 free statistical analysis software, 10. fully funded phd position in self-assembled microgels as rheology modifiers for formulation technologies.

We seek an outstanding Doctoral Candidate to study Self-assembled microgels as rheology modifiers for formulation technologies. We are looking for candidates, without gender or nationality discrimination but with mobility requirement, with interest in supramolecular chemistry or physical chemistry of soft materials. Goals of the PhD project include the fabrication of hierarchically structured microgels by using a.o. microfluidic techniques, that mimic the structure and viscoelastic properties of biological tissues, and to explore the properties of these novel materials. In this challenging experimental project you will use a broad variety of spectroscopic, microscopic and material characterisation techniques, to study the physical chemistry of soft, hierarchically structured materials.

Application Deadline: 15-8-2023

Looking for funded scholarships programs click here, 11. fully funded phd position in machine-learning-based multi-sensor detection.

The goal of SeaClear and SeaClear 2.0 is to develop a collaborative, heterogeneous multi-robot solution engaged in collecting marine waste using autonomous underwater robots for cost-effective marine litter detection and collection, while at the same time minimizing impact on underwater flora and fauna like seaweed and fish. This goal will be reached by bringing together state-of-the-art technologies from the fields of machine learning, control. optimization, and marine technologies and by building a stable and reliable system capable of tackling a highly relevant social, economic and environmental issue, namely ocean pollution.

Application Deadline: June 1, 2023

12. fully funded phd position in computational design of adsorbents.

We seek a highly motivated and conscientious researcher (f/m/x) with strong communication and self-management skills, who is passionate about making high impact contributions to new technologies for water treatment. The successful candidate holds an MSc degree in mechanical engineering, chemical engineering, applied physics, or a similar discipline and has a strong background in thermodynamics, mathematics, and transport phenomena. Affinity with molecular simulation, scientific computing, and statistical thermodynamics will be considered as strong points. TU Delft is an equal opportunity employer, and therefore we strongly encourage candidates from underrepresented groups to apply.

Application Deadline: 1 June 2023

10 best plagiarism checkers software, 13. fully funded phd position in cloudwalker, design and evaluation mechanical exoskeleton.

A first prototype has been made, which has been tested with healthy people. You will further develop the prototype, based on the test results and on input from end users/patients and possible future manufacturers. You design new mechanisms for the exoskeleton and build a new prototype. You work in Delft for most of the week, but you are also regularly in Rotterdam. In Delft you work on the design and production of new prototypes. You will test the prototype you designed with people with a spinal cord injury. You arrange the ethical permission to test. The tests take place in Rotterdam, in the Erasmus MC and in the Rijndam rehabilitation center. You publish the results in scientific journals. You present your work at international conferences.

14. Fully Funded PhD Position in Condition-Based Monitoring for Maritime Applications

Structures of sea-going vessels are subject to fatigue and corrosion degradation as they operate under harsh dynamic loading and environmental conditions. Despite the extensive knowledge available for design and analysis of these structures, large uncertainties introduced at different stages of the vessel fabrication (e.g., initial quality of the material and welds) and operation (e.g., loading history and environmental conditions) impede accurate prediction of crack and corrosion development in the hull. These uncertainties induce increased probability of incidents, reduced efficiency of inspection and maintenance planning, and increased lifecycle costs. To counter these, this PhD position aims at development of monitoring systems that can accurately, reliably, and quantitatively identify fatigue and corrosion damage in ship hulls using guided ultrasonic waves.

15. Fully Funded PhD Position in Novel DC-DC Converter for Plant Energy Harvesting

Collecting energy from the environment to power IoT devices has been a hot topic for decades and continues to develop. In this project, we are working with Plant-e on a plant-powered energy harvester, which can provide energy from the plants day and night. Very different from the solid-state energy harvesters such as solar cells, plant-based energy harvester is a “living” energy harvester that responses to electrical conditions slowly, and the traditional maximum power point track (MPPT) techniques cannot be applied. The goal of this project is to develop a novel MPPT technique to quickly and accurately find and track the MPP condition of the plant energy harvester. A DC-DC converter will also be designed to demonstrate the system.

16. Fully Funded PhD Position in Smart technology to empower children with a chronic disease to have a more active lifestyle

Do you have fresh ideas on how technology can empower children with a chronic disease to be more active in daily life? Then this job opening is for you! An active childhood is crucial for long-term health. This is especially true for children with a chronic disease, as regular physical activity improves overall health and prevents many complications of their disease. Moreover, physical activity (PA) is shown to be causally related to enhanced neurocognitive, behavioural, and academic functioning, making PA an important mechanism to improve quality of life of children.

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17. fully funded phd position in automation of electric taxiing at an airport.

Electrification is envisioned to be a key enabler for sustainability of future air transport. Electric aircraft taxiing is a novel, green technological and operational solution considered by many airports worldwide to be implemented in the nearest future. It is also envisioned that most of the future airport ground operations, including aircraft taxiing, will be automated. In this PhD project, the topic of automation of electric aircraft taxiing at an airport will be explored. More specifically, models for autonomous management of aircraft and other airport ground vehicle movements will be developed, taking into account advances in the area of autonomous driving. Interaction between the automated systems and human supervisors will be also considered.

Application Deadline: 5 June 2023

18. fully funded phd position in robust eco-efficient aircraft routing.

The climate impact of aviation is not just defined by the sector’s carbon dioxide emissions, but also by the formation of warming contrails, the nitrogen oxides induced ozone formation and methane depletion. And as the sector keeps growing, securing long-distance mobility, it is crucial to significantly reduce aviation’s total climate impact by optimising flight routes. You will be part of an interdisciplinary team and you will conduct research to minimising aviation’s climate impact as a PhD candidate at TU Delft. The mitigation options are expected to consider the interdependencies of different climate forcers while incorporating uncertainties associated with individual climate forcer. Your work will be part of the EU-funded CONCERTO project, which aims to reduce aviation’s climate impact via operational improvements and enables you to discuss your ideas and solution with various stakeholders.

19. Fully Funded PhD Position in AI-based Synthetic Data Generation for Airports and Airlines

Sensor data have been increasingly used for assessing, predicting, and optimising performance of airport and airline operations. Data-driven methods and tools from the rapidly developing fields of AI and machine learning have demonstrated their extensive potential to understand and improve air transport operations. However, in some cases, real data may not be readily available (e.g., for new airports or novel, future concepts of operation). To address this issue, in this PhD project, state-of-the-art data-driven methods from AI and machine learning will be used to generate realistic synthetic datasets for airport and airline operations. The models will be trained on existing data and will be used for performance prediction of airports and airlines (in particular, turn-around time, passenger flows, flight delays), for which no or limited data is available.

20. Fully Funded PhD Position in Hydrogen Bubble Experiments

Hydrogen can be made in a sustainable way in electrolysers, using green electricity. In this process hydrogen and oxygen bubbles form on electrodes inside a liquid electrolyte. These bubbles are insulating, so cause additional resistance. Bubbles are however also beneficial since they locally remove the dissolved gas that could otherwise cross-over to the other electrode and cause explosive gas mixtures. Therefore it will be beneficial to have a good understanding of the behaviour of both hydrogen and oxygen bubbles.

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21. fully funded phd position in monitoring and safety verification for the dutch railways.

You will be part of the Algorithmics Group in the Department of Software Technology of the Faculty of Electrical Engineering, Mathematics and Computer Science. As a PhD researcher, you will reinforce and extend the group’s expertise in the interdisciplinary field combining formal methods and machine learning. You will work in a dynamic and diverse environment of other PhD and postdoc researchers excited about making theoretical and algorithmic contributions in intelligent decision making. In addition, you will collaborate with experts at the Dutch Railways and ProRail and four PhD students addressing other aspects of railway automation.

Application Deadline: May 23, 2023

22. fully funded phd position in artificial intelligence for user-centered and energy-efficient operation of buildings.

The selected candidate will work on developing data-driven user archetypes and inference strategies to personalise building control and reduce energy consumption whilst increasing user comfort and satisfaction. The candidate will contribute to the development of a novel AI-enhanced strategy for assimilating user needs in a non disruptive manner and accordingly inform model-based building control systems. Further, the candidate will design the information infrastructure between users and building controls, balancing data accuracy with intrusiveness.

Application Deadline: May 28, 2023

23. fully funded phd position in quantum photonics with color centers.

As a member of our lab, you will have access to a brand new laboratory with state-of-the-art cryogenic, optical, and electrical equipment, a fully equipped cleanroom for nanofabrication, and regular tape-outs in commercial photonic foundries. Moreover, you will collaborate with world-leading research groups (e.g. at TUDelft, MIT, IMEC, KTH, etc.) including exchange trips. You will report your results in high impact scientific journals and present your work at photonics and physics conferences around the world such as CLEO and the APS March meeting.

Application Deadline: May 31, 2023

24. fully funded phd position in spread in networks.

You are driven to reduce the impact of spread in networks using mathematical modelling. For your research you harness your in-depth knowledge of mathematics, algorithms, probability theory and network science. In addition, you thrive on seeing your models applied, for which you reach out to relevant stakeholders using your communication and networking skills. You also enjoy writing scientific articles and disseminating your findings in relevant communities and conferences. In view of the often privacy-sensitive nature of our research, you are an EU citizen.

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25. fully funded phd position in artificial intelligence of things (aiot).

The Artificial Intelligence of Things (AIoT) domain combines Artificial Intelligence (AI) technologies and Internet of Things (IoT) infrastructures. It is estimated that the global number of connected IoT devices will grow to 75 billion by 2025. With the advancements in edge computing, the massive data generated and collected via IoT devices can be processed and analyzed by AI locally, which enables more efficient, real-time IoT operations, enhances human-machine interactions, and improves data management and analytics capabilities. The application of AIoT is revolutionizing various industries including autonomous vehicles, critical infrastructure, transportation, robotics, and building control.

26. Fully Funded PhD Position in Cloudwalker, development and evaluation of a Mechanical Exoskeleton

As a PhD student, you will work on the development and evaluation of a mechanical exoskeleton, or walking orthosis, the CloudWalker. This exoskeleton helps people with paralysis of the legs, for example in the case of paraplegia, to walk independently. The project is a collaboration of TU Delft, Erasmus MC and Rijndam Rehabilitation, in Rotterdam.

27. Fully Funded PhD Position in AI for managing large fleets of Electrical Vehicles, Vienna, Austria

In your research, you will focus on the interaction of user behaviour, which may vary largely, grid stability measured in seconds, and charging management. You will research and gain in-depth understanding of the latest machine learning techniques and modify them to tackle charging-related challenges, helping drive smarter grid operation. You will also build verification test beds. In this role, you will have the opportunity to work with major grid operators as well as leading fleet operators. Twice a year, you will join us in Delft for courses and training, as well as interaction with your fellow-researchers at Delft AI Energy Lab.

Application Deadline: 31 May 2023

28. fully funded phd position in ai-based algorithms for flexible energy systems.

In your research, you will implement your research within the interaction of the actors in the energy system which may vary largely, grid stability measured in seconds, and the integration of renewables. You will research and gain in-depth understanding of the latest machine learning techniques and modify them to tackle -integration-related challenges, helping drive smarter grid operation and planning. You will also build verification test beds. In this role, you will have the opportunity to develop your own research line and work with major grid operators as well as leading energy producers. Twice a year, you will join us in Delft for courses and training, as well as interaction with your fellow-researchers at Delft AI Energy Lab.

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29. fully funded phd position in transport phenomena in a zinc-air flow battery for electrochemical energy storage.

The main objective of this project, called ReZilient, is to demonstrate the first non-critical-raw-materials-based zinc-air flow battery of its kind. It aims to fill the gap between short-term electrochemical energy storage (Li-ion) and long duration chemical energy storage (e.g. hydrogen storage). ReZilient is funded by the European Commission and is executed by a consortium of Norwegian, Danish, Finnish, Portuguese, Belgian and Dutch organisations.

Application Deadline: June 16, 2023

30. fully funded phd position in coupled well-reservoir model for co2 and h2 storage.

Accurate modelling of gas injection applications in deep subsurface reservoirs is a challenging task. First, the simulation framework should include complex physical phenomena, i.e., thermal-multiphase-chemical flow. The computational models depend on many uncertain reservoir parameters and imprecise measurements which requires a significant number of forward modelling runs for performance optimization or risk assessment. For that, the modelling process should achieve the required level of accuracy, robustness, and efficiency.

Application Deadline: 21 May 2023

31. fully funded phd position in integrated transport networks.

In the XCARCITY Project we will develop realistic digital replicas of car-low areas in Amsterdam, Almere Pampus and the Metropolitan Region Rotterdam-The Hague. We will use these ‘digital twins’ to study how people use different smart mobility services. This will help cities, area developers and mobility providers to make informed decisions about smart mobility, ensuring that the car-low urban regions of the future remain accessible.

32. Fully Funded PhD Position in Integrated smart mobility strategies

10 best data recovery software, 33. fully funded phd position in sensor network design for strategic multi-modal transportation service planning.

As PhD candidate your main focus will be on sensor network design for strategic multi-modal transportation service planning. You will develop a utility-based sensor network design framework including AI-based impact assessment and forecasting methods and a utility function for planning and design applications. Design variables are: choice of data sources or sensors considered, amount and location (if stationary), the type of data to be delivered and the frequency and latency of data delivery (if relevant).

34. Fully Funded PhD Position in High End Analytics for Organ Viability Sensing

The PhD in this collaboration project between Erasmus MC and Delft University of Technology will investigate different high-end analytical methods to analyze the functioning and state of a donor liver, and will design and develop sensors that can determine the health state via selected biomarkers. Subsequently these sensors will be integrated in a well-controlled environment for organ storage and preparation for transplantation in order to improve the success rate for liver transplantation.

Application Deadline: 22 May 2023

35. fully funded phd position in closed loop brain networks.

As a PhD student at TU Delft within the DBI 2 program, you aim to obtain fundamental new insights into the closed-loop interactions within the brain and link these to our behaviour. You will design and conduct EEG experiments which enable you to study brain network interactions, by quantifying signal propagation through the brain (4D-EEG methodology), and to validate neural network models of the interacting brain areas. Your findings can be directly translated to studying behaviour in animal models, the design of novel brain stimulators and stimulation paradigms that enable behavioural enhancements in patients. The highly interdisciplinary work requires you to actively build bridges between system identification, control engineering, signal analysis and neurosciences.

Application Deadline: May 21, 2023

36. fully funded phd position in design for values and rri for quantum technologies.

The development of quantum technologies takes for a large part place within larger tech companies and is increasingly organised within the borders of global geopolitical blocks. Research and innovation in quantum technology become by this shielding and partitioning less transparent to society, which in turn challenges approaches in ethics of technology aimed at guiding technology development by moral values. This PhD position has as its goal the adjustment of approaches for technology guidance, specifically Design for Values and RRI, in a way that they can also be applied to quantum technologies.

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37. fully funded phd position in cyber-physical smart grid intrusion detection.

InnoCyPES, a European Innovative Training Networks (ITN), funded under H2020 Marie Skłodowska-Curie Actions (MSCA), is recruiting talented, enthusiastic, and ambitious candidates to perform excellent research and achieve breakthroughs in the field of cyber-physical energy systems. InnoCyPES targets the bottlenecks of digital transformation of the current energy system, where the ESRs are expected to study and improve various facets of digitalized and interconnected energy systems. 15 Early-Stage Researchers (ESRs) will enroll in PhD programmes in the InnoCyPES network, consisting of 7 academic and 4 industrial beneficiaries, together with 10 partner organizations.

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U Delft cooperates with many other educational and research institutions, both in the Netherlands and abroad. The high quality of our research and teaching is renowned. TU Delft has numerous contacts with governments, trade associations, consultancies, industry and small and medium-sized companies. History of TU Delft TU Delft was founded in 1842 as the Royal Academy by King Willem II. It has been known as the Delft University of Technology (TU Delft) since 1986.

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51 Funded PhD Programs at Delft University of Technology (TU Delft), Netherlands

• Reading time: 53 mins read
• Post published: May 28, 2022

Are you holding Master’s degree and looking for PhD positions – Fully Funded PhD Programs in Europe? Delft University of Technology (TU Delft), Netherlands inviting application for funded PhD Programs or fully funded PhD Scholarship. Delft University of Technology (TU Delft) is one of the largest university in the world with thousands of employees, students, and research scientists are involved in the innovation of science and technology daily.

Delft University of Technology (TU Delft) has huge a campus in Netherlands and widely known as for its contribution in top notch education and research. The contribution of Delft University of Technology (TU Delft), Netherlands is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc.

1. PhD position: computational analysis of stem cell production in bioreactors

Summary of doctoral project:.

Blood is essential for oxygen transport, wound healing, and defence against pathogens. Short-lived mature blood cells are constantly replenished by hematopoietic stem cells (HSCs) throughout life. For many blood-related ailments, blood transfusion is often the only therapeutic option, and stem cell transplantation the only curative treatment for severe anemias. Unfortunately, a lack of immune-matched cells often hampers these therapies. The TRACER consortium works on studying disease mechanisms as well as the production of mature bloodcells/HSCs from gene-corrected induced pleuripotent stem-cells for therapeutic purposes. The team at TU Delft will focus on development of bioreactor technology for reliable high-density, low cost stem cell production for blood transfusion and curative applications. The team will consist of two PhD students, of which the current vacancy focuses on process modeling and simulation, whereas the prospective colleague will work on experimental cultivation and process monitoring/control. Within this project, you will actively work together with all partners, particularly Dutch blood bank Sanquin and Gethinge-Applikon for bioreactor/process development.

Last Application Date: 25 June 2022

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2. PhD position in membraneless water electrolysis 

The goal will be to create, test, and optimize membraneless electrolyzer systems that allow high flow velocities and energy efficiencies. Studying the complex interaction between dissolved hydrogen, bubbles, and high liquid velocities will be an important point of investigation. The transport of dissolved gas and bubbles will be studied through optical and electrochemical means. Besides these scientific aspects, engineering aspects like effective gas-liquid separator design will also play a role. The challenges will be primarily experimental in nature, but depending on the interest and skills of the candidate a combination with multiphysics or computational fluid dynamics simulations may be possible. The research will be supervised by dr.ir. Willem Haverkort at the Process & Energy department and is embedded in the wider e-refinery community at Delft University of Technology and the European project consortium. The desired starting date is October 1st.

Last Application Date: June 25th, 2022

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3. phd position co-creating and designing a smart family buddy.

By using and further expanding on existing user study methods involving value based design methods, ecosystem analysis, and context mapping, you will co-create the concept development for the ID-Buddy in societal communities with families and a consortium of experts, public and private organizations. The concept development for the platform should bring out and connect diverse values from various stakeholders within the ecosystem of the neighbourhood resulting in increased health literacy, mutual care and healthy lifestyle. Your responsibilities will include a literature review of value based design, iterative development and validation of your own value based design method for a complex multi-stakeholder context involving vulnerable target groups, (collaborative) concept development, design and prototyping activities for the platform development, and writing academic journal articles on the process and results of your work.

Last Application Date: June 27 2022

4. PhD in Smart Control of Turbulence for Sustainable Aviation

In collaboration with industry, TU Delft has recently started the Turbulence Task Force project. This task force will identify, validate, and prepare for industrial implementation, the most promising and commercially attractive technology for the reduction of turbulent drag in aviation. Within the task force, this PhD project is concerned with the manipulation of the turbulent fluid layer adjacent to the surface, particularly from the perspective of active (flow) control. This implies that the evolving turbulence needs to be manipulated with a wall-based sensing and actuation system with the aim to learn (1) which instantaneous features of the turbulent flow are most receptive to control, and (2) which controlled features result in the greatest performance gain and why. To address these challenges, control techniques, such as extremum-seeking control in multi-input/output systems, possibly combined with real-time implementations of other machine learning methods, are a promising way forward. The work will be mainly experimentally using state-of-the-art (optical) measurements techniques and flow facilities.

Last Application Date: 21 June 2022

5. PhD Position Postural stabilization and motion comfort in automated vehicles

TU Delft, the Netherlands, invites applications for a PhD student to investigate human postural stabilization in relation to motion perception and motion comfort. Automated driving holds great promise to provide safe and sustainable transport. Automation will allow users to take their eyes off the road, freeing up time for work or leisure activities. This will require high comfort levels achieved by smooth driving styles and innovative interiors. A particular concern is “self-driving car sickness”. A range of theories and models associate motion sickness with motion perception and postural stabilization. Due to a multitude of factors existing models fail to predict motion comfort in automated driving. Effects of 3D motion and the modulating role of vision are not sufficiently captured. The relation between motion comfort and postural stabilization sees little empirical support.

Last Application Date: 30 June 2022

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6. materials for space.

Radiation damage to materials in space applications poses a serious threat to the safety, durability and reusability of the structural components. The detailed study of structural ceramics degradation under radiation and establishment of degradation mechanisms will provide a solid foundation for future design and optimization of sustainable ceramic based materials for space applications. The supervision will be jointly carried out by Dr. Yinglu Tang, Dr. Santiago Garcia Espallargas and Dr.Rinze Benedictus from Aerospace Engineering of TU Delft. The PhD will explore the following three work packages: WP 1: Synthesis of phase pure ceramic materials It is often accepted that due to the high melting point of ceramics, the synthesis of materials such as ZrB2 and ZrC requires sintering agents, which can facilitate sintering due to their low melting points yet can also lead to oxidation problem at higher temperatures. The research objective is to synthesize single-phase high temperature ceramic material through defect engineering. WP 2: Radiation damage characterization of UHTC

Last Application Date: 30 June, 2022

7. Computational materials modelling for space

1 PhD position is available under the QAIMS (Quantum-enhanced Artificial Intelligence for sustainable Materials and Structural design in aerospace) lab of the Faculty of Aerospace Engineering of TU Delft. It falls in the exciting interdisciplinary area of Machine Learning (ML), Quantum Computing (QC), and computational materials modelling. When energetic particles interact with materials in space environment, they can cause defects and resultant property degradation. Classical ab initio density functional theory calculations are limited by small scale and short time whereas classical molecular dynamics are limited by insufficient accuracy. Machine learning is expected to bridge the gap by enabling a more accurate description of a material at atomic level at a relatively low computational cost. This PhD project is about to take this idea a step further, namely enhancing the AI models using QC to allow them to learn and predict “quantum mechanically”.

8. PhD project in operations & maintenance optimization of offshore wind

Wind energy is set to be a major contributor to the decarbonisation of the energy sector. Offshore wind farms are being built without subsidy, but successful offer prices are predicted to further reduce cost. Operation & Maintenance (O&M) can contribute up to 30% of the levelized cost of energy (LCOE) of offshore wind. Making decisions for planning and scheduling of maintenance is important and plays a critical role in reducing the cost and realizing the scale of wind power. Blade failure reduces turbine yield or in extreme cases stops turbine operation and requires replacement which is a time-consuming and costly operation involving heavy lift vessels offshore. The NWO project Holi-DOCTOR aims to investigate monitoring techniques including sound and vibration measurements and infrared measurements in a holistic framework. Timely intervention informed by effective monitoring can aid remedial action, avoiding full replacement and finally help optimize O&M schedules and improve the efficiency of wind turbine maintenance.

Last Application Date: July 10, 2022

9. PhD in Biophysics

We are looking for a highly motivated student with significant physics or engineering research experience to develop a novel sequencing technique that probes the protein profile using aptamers with sub-nanometre resolution. This high-resolution method, combined with nanotechnology, will be used for analysing proteoforms, particularly, splicing isoforms and post-translational modifications. We will be able to sequence single proteins and their proteoforms and therefore create the opportunity for single-cell proteomics and screening for on-site medical diagnostics. It will lead to a revolution in biophysics, biotechnology, and healthcare. Do you want to join developing this ground-breaking technology? Check the application procedure below.

Last Application Date: 1 5 July 2022

10. PhD Position Software Restructuring

We are seeking two PhD Students to join the Spoofax team to (1) extend the theory and application of scope graphs to the specification of programmable software restructurings, (2) develop analogs to scope graphs for capturing and transforming control flow, (3) develop a software restructuring framework for the C++ programming language based on this framework, and (4) validate the restructuring infrastructure through restructuring production C++ code at Philips Healthcare. We are looking for versatile candidates who can contribute to the development of theoretical foundations, design of meta-languages, implementation and integration of languages and libraries in the language workbench, and evaluate the new techniques in case studies.

Last Application Date: 31 December 2022

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11. phd position in explainable combinatorial optimisation.

We are seeking a highly motivated candidate to work on the intersection between combinatorial optimisation, AI, and explainability. Modern optimisation methods are invaluable in assisting decision-makers in complex problems with difficult constraints, e.g., scheduling, production-planning, logistics, and transportation. However a glaring problem is that, even though the final solutions provided by the algorithms may be optimised, it may be difficult to understand the reasoning behind the algorithmic decisions. This is particularly a problem in cases where the algorithm is expected to interact with a human decision-maker who needs to justify the decisions to relevant stakeholders. The goal of the project is to develop novel combinatorial optimisation methods that not only exhibit excellent performance, but also concisely break down the main factors behind automated decision-making in a way that is easy for humans to interpret.

Last Application Date: June 13, 2022

12. PhD researcher on the miniaturisation and integration of modular flow control components for microfluidic systems

Microfluidics technology is an important enabler for many applications in life-sciences, health care and chemical / pharma industry. An example is the upcoming field of Organ-On-Chip (OOC), in which organ functions and their biophysical environment are mimicked on a chip. The processes of organ and medium interaction are studied on a chip, reducing the need for animal testing. However, current microfluidics technology, particularly the ancillary components like pumps, flow controllers and switch-valves are all bulky and this is a bottleneck in creating complex microfluidic systems. There are examples of small form factor components, however, these are often not designed from a modular integration perspective. We are on a mission to build a novel generic design system that uses a modular approach consisting of miniaturized flow control components that allows easy configuration, integration and operation of complex microfluidic systems for research and industrial purposes.

Last Application Date: June 15, 2022

13. PhD Position Interaction-Aware Motion Planning

In this project we will take a holistic view on the interaction of mobile robots and humans, where we will consider multiple spatio-temporal granularities ranging from individual interactions to the interaction of a robot fleet with the humans in a city, and from short term (local) to long term (global) effects of the interaction. You will employ reinforcement learning tools to build local and global intuition models of the interaction between robots and their environment. Then, you will integrate these intuition models in uncertainty-aware trajectory optimization methods to compute safe interaction-aware trajectories for mobile robots. Within the project, you will be responsible for motion planning and collaborate with other researchers responsible for task assignment and perception. Thus, you will make a fundamental contribution towards intuitive multi-robot interaction, making it possible for teams of mobile robots to safely interact in human-centric environments and enabling a new level of automation in factories and cities.

Last Application Date: June 15th, 2022

14. PhD: Dynamics of proteins in cell nuclei studied by super-resolution microscopy

In order to keep human bodies healthy, cells have to continuously adjust to stress, such as DNA damage, nutrient deficiency and mechanical stress. Recently, the lamin family of cytoskeletal proteins have emerged as a key regulator of cell response to intrinsic and environmental stimuli. Lamins are the main architectural proteins of the nucleus and form a fibrous, highly stable meshwork underlying the inner nuclear membrane. The cell’s stress response triggers one of the lamin types, prelamin A, to accumulate, which affects important cellular processes such as cell cycle progression, DNA-replication, chromatin remodeling and senescence. Fundamental knowledge on the lamin-dependent regulatory mechanism that controls DNA replication, and replication fork stalling leading to cell senescence, is still lacking. DNA replication is a process fundamental to all life, and lamins have been found to regulate DNA replication through local chromosome compaction and direct interaction with the replication proteins. Furthermore, during S phase, the nucleoplasmic distribution of lamins changes with altering patterns of DNA replication.

Last Application Date: May 31st, 2022

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15. phd: unlocking ultrafast spectroscopy to observe catalytic conversions.

The Chinese sign for Catalyst is marriage broker, as it decreases the energy for two molecules to react. Many intermediates in the reaction process are too short-lived to detect. The aim is here, to heat the catalysts extremely fast with femtosecond laser pulses to jumpstart the reaction such that the intermediates can be detected with pump-probe spectroscopy. The Dutch Research Foundation NWO has awarded a prestigious VIDI grant to Monique A. van der Veen for this research. Catalysts, especially solid, heterogeneous catalysts are the workhorses of the chemical industry as they lower the energy needed for a reaction to occur. To this end we need to develop a tremendous amount of new catalytic processes that are energy-efficient and selective. Detailed insight into the reaction mechanism can accelerate the development of radically new catalytic processes.

Last Application Date: June 20, 2022

16. PhD: Developing metal-organic frameworks for Odour-Based Selective Recognition of Veterinary Disease

This PhD project specifically entails the development of metal-organic frameworks that will selectively adsorb the targeted odour molecules, and by which adsorption leads to a change in the properties of the MOF that can detected by the sensor platform (electrical capacity, mechanical resonance and photonic properties). You will also develop convenient deposition techniques to achieve thin MOF-layers on the sensor platforms. You will collaborate and communicate with a large variety of scientists (material scientists, analytical chemists, electrical engineers, veterinary scientists, data scientists and social scientists). The project will be supervised by dr. ir. Monique A. van der Veen. The van der Veen group focuses on the development of hybrid materials for separation, catalysis and electronics. The group is part of the Catalysis Engineering section at the Department of Chemical Engineering of TU Delft.

17. PhD Position in Data Driven Fault Diagnosis for Electric Vehicles

You will carry out research as part of the project SPARSITY, which is an academic-industrial collaboration between the Delft Center for Systems and Control (TU Delft, The netherlands) and Volvo Group, a world-leading automotive company based in Gothenburg (Sweden). You will be supervised by Dr. Riccardo Ferrari, who is leading a young, dynamic and diverse group of researchers focusing on fault tolerant control, with applications in automotive and aerospace diagnosis, in safety and security of industrial control systems and in renewable energy generation. You will be co-supervised and mentored by Prof. Michel Verhaegen, a renown expert in system identification methods and an ERC grantee.

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18. phd aligning citizens with clean energy investment and renovation decisions- from transaction costs and behavioural perspective.

We are hiring 2 doctoral candidates, who will work on the Human System of a larger NWA-ORC project- ALIGN4energy, together with a broad interdisciplinary consortium of universities, and public and private organizations. The 4-year project ALIGN4Energy, funded by the Netherlands Science Foundation (NWO), aims to contribute to deploying clean energy technologies in residential homes rapidly and at scale. The ALIGN4energy consortium provides a total of 11 PhD positions aimed to simultaneously address the citizens, policy, and business perspectives of the residential energy transition. These 2 PhD positions offered by TU Delft will be hosted at the Department of Management in the Built Environment, at the Faculty of Architecture and the Built Environment. These two PhDs will be working on workpackage 1 on Human System of the ALIGN4energ project.

19. PhD position in energy system modelling and modelling weather-dependent variability (4 years)

The Energy and Industry section in the Department of Engineering Systems and Services are looking for a new PhD candidate to start in autumn/winter 2022/23 (starting date flexible and based on mutual agreement). Your main supervisor will be Stefan Pfenninger [https://www.pfenninger.org/], Assistant Professor of Energy Systems Modelling. The research area we expect you to work on is model-based guidance on large-scale infrastructure planning decisions for the energy transition in Europe and beyond, related especially to fuels and gas infrastructure, including the role of hydrogen, bioenergy, natural gas, CO2 capture, utilisation and transport, and the possible roles of all these in achieving a fully climate-neutral European energy system. We are also particularly interested in candidates that want to combine this with work on the spatio-temporal variability of electricity generation and energy demand, and have demonstrable skills for this, e.g. working with meteorological reanalyses, other measured weather data, or high-resolution climate models.

Last Application Date: 24 June 2022

20. PhD Position Foundations of Stochastics Partial Differential Equations

At the Delft Institute for Applied Mathematics (DIAM), part of Delft University of Technology (TU Delft), NL, two full-time PhD positions in the mathematical analysis of stochastic partial differential equations are offered. The PhD candidate will be supervised by Prof.dr.ir. M.C. Veraar (part of the Analysis Group at DIAM). The focus of both of the projects is on well-posedness, regularity, long-time behavior, large deviations and/or approximation of solutions to parabolic and hyperbolic SPDEs of semi- and quasi-linear type. A background in Probability Theory and/or Analysis is preferable.

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21. phd renovation technologies for energy transition in underprivileged neighbourhoods.

We are hiring a doctoral candidate on “Multi-criteria evaluation of renovation technologies implementation in underprivileged neighbourhoods”. The position is part of the NWO project “justPREPARE – Putting REsident Practices And REsidential areas at the centre of a JUST and effective energy transition in underprivileged neighbourhoods.” We are looking for a person with a relevant Master degree and an interest in the energy transition in the built environment, focussing on the role of energy renovation of residential buildings. You should have knowledge of construction, building physics and energy simulations and have a good understanding of the role of the residents in the renovation process and the financial implications. You will work on a highly societal and scientific relevant topic, embedded in a large research project with academic and social partners.

Last Application Date: June 1, 2022

22. PhD position Wall bounded turbulence: from the instantaneous to the statistical

One of the still open questions in wall turbulence is to link instantaneous flow features with the currently available wealth of statistical insights: how are these structures “put together” in time in order to create the well-established statistical picture? This is especially crucial in high-Reynolds number flows, which are still unattainable by direct numerical simulations and for which time-resolved experimental data are relatively scarce. The goal of this PhD project is to fill this gap in available data but also in the subsequent analysis.The focus will be coherent structures in the logarithmic and wake regions and specifically their time footprint and evolution. The results will be pivotal both from a fundamental standpoint but more importantly as input for fine-tuning low-order models and optimizing drag reduction strategies, many of which still rely on statistical information.

Last Application Date: June 1st, 2022

23. PhD position on Analysis and control of max-min-plus-scaling systems in a discrete-event framework

Discrete-event systems form a large class of dynamic systems in which the evolution of the system is driven by the occurrence of certain discrete events. This in contrast to discrete-time systems where the evolution depends on the clock. Discrete-event systems with only synchronization and no concurrency can be modeled by a max-plus linear model. This is a model in which the system equation consists of max and plus operations (e.g. paper flow in a printer or predictive scheduling for container terminals). When competition plays a role (e.g. first-come-first-serve mechanisms) we obtain a max-min-plus system. This is a model in which the system equation consists of max, min, and plus operations (e.g. product flow in a production system with competition). Occasionally the processing times in a system will depend on external parameters or previous values of the state and input. Such a system can written as a max-plus linear-parameter-varying system, or equivalently as a max-min-plus-scaling (MMPS) system (e.g. traffic management on an urban railway line).

Last Application Date: 1 June 2022

24. PhD position Data-driven control of gas bubble drag reduction in liquid wall bounded flows

In this Ph.D. project, you will work on developing state-of-the-art data-driven models for reduced-order modeling of such flows, which will enable successful closed-loop control of your design. To achieve this ambitious goal, you will exploit various flow measurement techniques (including particle image velocimetry and pressure and drag measurements) to ensure optimal data collection and representation of different flow states. As a PhD student, you will be part of two vibrant teams of researchers within the Multiphase Systems (MS) and Learning for Autonomous Control (LAC) sections, with diverse backgrounds and expertise. Your supervisors will be Dr. Angeliki Laskari and Dr. Cosimo Della Santina within the Process & Energy and Cognitive Robotics Departments.

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25. phd position complementarity mechanisms in complex network.

As a Ph.D. student, you will study complementarity mechanisms in complex networks under supervision of Dr. Maksim Kitsak and Prof. Van Mieghem. Your work will be at the intersection of network theory, network embeddings, and network inference. A possible application domain is the Science of Science.

26. PhD positions (3) on Integrated optimization-based and learning-based control of networks with hybrid dynamics

These 3 PhD projects are part of the European ERC Advanced Grant project CLariNet – a novel control paradigm for large-scale hybrid networks. The goal of CLariNet is to create a completely new paradigm for control of large-scale networks with hybrid dynamics by bridging the gap between optimization-based control and learning-based control. The breakthrough idea is to bridge that gap by using piecewise affine models and to unite the optimality of optimization-based control with the on-line tractability of learning-based control. The 3 projects all have a strong fundamental flavor. In addition, applications for the case studies include multi-modal transportation networks and smart multi-energy networks.

Last Application Date: June 5, 2022

27. PhD Position Energy Policy Innovation

We are looking for a curious, driven, and perseverant PhD candidate to conduct research on energy policy innovation as part of the DECIPHER project. Funded by the EU Horizon program, DECIPHER will create a decision-making framework for holistic assessment of environmental policy alternatives. The dual crises of climate change and biodiversity increase the urgency for the adoption and implementation of efficient, inclusive, and legitimate environmental policies. Mainstream economic methods currently used in the design of environmental policies, however, fail to capture the complexity of the economy-energy-environment nexus. Rather, policy analysis is informed by a narrow set of metrics that do not encompass broader considerations of justice, sustainability, and wellbeing and fail to account for policy feasibility and policy resilience. Moving beyond the state-of-the-art, DECIPHER will employ an interdisciplinary, systems approach to develop and apply a decision-making framework for ‘real world’ assessment of flagship EU policies. By integrating co-creation, policy sciences’ theories, empirical analysis, and biophysical, economic, and energy modelling, the project will significantly improve environmental decision-making on biodiversity and climate change and, thereby, enhance environmental policy effectiveness.

Last Application Date: 5 June 2022

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28. phd position open strategizing for infrastructures in transition.

We are seeking a PhD candidate for the research project ‘Open Strategizing for Infrastructures in Transition’ (PRONTO). To shape socio-technical transitions, infrastructure agencies need to develop coordinated cross-sectoral infrastructure strategies. This requires infrastructure agencies to open-up their processes of strategizing. As a researcher in the PRONTO project, you will investigate what practices of open strategizing are enacted by infrastructure agencies and help develop governance and modelling approaches in support of these practices. The PRONTO project is funded by NWO and NGinfra and is a collaboration with University of Twente, University of Groningen, and Radboud University with Rijkswaterstaat, ProRail, Vitens, Alliander, Port of Rotterdam, and the province North-Holland.

Last Application Date: 8-06-2022

29. AiBLE Lab 2 PhD Positions

TU Delft is a top tier university and is exceedingly active in the field of Artificial intelligence. The AiBLE lab will investigate how AI can be developed and used in complex real-world scenarios to help reach effective, transparent, and lasting design decisions and agreements. In AiBLE we also incorporate human feedback in the loop to iteratively improve decision-making and drive behavior changes. AiBLE will focus on two important challenges in the built environment: energy transition and circularity. By using AI to augment human intelligence and support negotiation continuously while adapting to and driving human behaviors, our lab will close the policy-practice gap responsibly and inclusively. We also aim for the acceleration of adoption and acceptance of responsible and inclusive AI. AiBLE has 4 PhD positions (for position 2 and 3 we have already selected new colleagues), we currently are actively recruiting for position 1 and 4.

Last Application Date: June 10, 2022

30. PhD position: Behavioural factors in security incident response

We are seeking a motivated PhD applicant to work with us on understanding how to facilitate an effective system operator response to incidents. This will involve not only analysis of the circumstances which influence operator responses to warnings, but also working processes, situational awareness and prioritization, and other relevant workplace factors. The project will involve engagement with energy system operators, through interviews, surveys, and scenario exercises, with the potential for observational studies and secondments as the project progresses. These activities will inform effective, secure working practices and recommendations for system operators in control rooms.

Last Application Date: 13-06-2022

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31. phd position optical methodologies for protein sequencing.

Genome sequencing has become a standard technology in biomedical research. The technique is used to diagnose inherited diseases, target treatments, and identify health risks. Certain gene variants can increase a person’s risk of diseases such as cancer and heart conditions. This technology makes use of innovative reagents, in combination with an optical microscope. A major drawback of this technology is that it only reveals the genetic baseline of biological processes. The ability to measure the make-up of not only the genome but of proteins and protein expression, would create an enormous scientific opportunity as proteins are at the basis of all biological processes. We envision the realization of such protein sequencing methodology by building on recent developments in super-resolution microscopy. Super-resolution microscopy allows for circumventing the diffraction limit, to visualize otherwise invisible details within the cell. Super-resolution microscopy combines clever optical microscope designs followed by sophisticated image reconstruction.

32. PhD Position on Learning-based cooperative multi-agent control

In this PhD project we will develop a framework for multi-agent learning aimed at cooperative control of a group of autonomous systems. More specifically, we address two challenges: (1) developing efficient methods for multi-agent learning in the presence of operational constraints, uncertainty, and at a later stage also memory and communication constraints, and (2) integration of the developed approaches with model-based (multi-level) control for increased performance. In the research we will focus in two classes of systems: linear systems and hybrid systems (in particular piecewise affine systems). The project has a strong fundamental flavor. In addition, applications for the case studies include mapping and control of multiple autonomous underwater robots (this also includes dealing with the limited capabilities and constraints of underwater communication).

Last Application Date: May 31, 2022

33. PhD position Integrated policies and transition pathways for sustainable water management and agriculture

We are looking for an enthusiastic PhD candidate from the field of public administration, policy sciences, (water) governance or a related field to research the decision-making around sustainability and drought prevention in the Dutch agricultural sector. The position is a for 4-year PhD track, financed by the Dutch Science Foundation (NWO), within the research project AGRICOAST: Climate-resilient agriculture in the Dutch salinizing coastal delta: innovative water management, adaptive agriculture, and promising transition pathways. AGRICOAST intends to develop various water management and water saving solutions to climate-proof agriculture in the Dutch coastal delta. A total of 4 PhD positions & 1 PDEng position is available in varying scientific and engineering disciplines, including the one advertised here.

Last Application Date: 31-5-2022

34. PhD position Flexible Floating Structure Modelling and Analysis

The transformation of our energy systems from fossil fuel-based to renable-based systems is calling for innovative solutions to harvest renewable energies at land, at sea and in space. Very flexible floating structures (VFFS) have been proposed to unlock the full potential of offshore floating photovoltaics. VFFS follow the wave elevation and allow for large structural deflections. Ballasting systems can prevent wind and currents from folding the leading edge. However, wrinkling is critical for the solar modules and can lead to structural collapse. The overall aim of the multi-disciplinary FlexFloat project, which is a joint effort between the Numerical Analysis group at the Delft Institute of Applied Mathematics (DIAM) and the groups Ship and Offshore Structures, and Ship Hydromechanics at the Department of Maritime and Transport Technology (MTT), is to develop efficient VFFS design tools.

35. PhD Position Design of new flatfish stimulation devices

Fisheries targeting sole and plaice typically use heavy tickler chains dragged through the sediment to startle and catch the fish. This technique results in (1) low catch selectivity with high bycatch, (2) high fuel costs owing to high drag, and (3) severe environmental impact (bottom disturbance, CO2 production, and release of pollutants). Therefore, a better fishing technique without tickler chains is required. Supported by the Applied and Engineering Sciences of NWO (the Netherlands Science Foundation), Wageningen University, Wageningen Marine Research, and Delft University of Technology aim to develop new catching techniques that are more efficient with a reduced environmental impact. To help achieving this, the PhD candidate will study the physics of acoustic, optical, hydraulic and mechanical stimuli and based on this knowledge develop appropriately dimensioned actuators.

36. PhD Position Data-driven identification and control of hydrodynamically coupled floating structures

Offshore wind farms, wave-energy converter arrays, and maneuvering ship convoys all involve hydrodynamically-coupled systems of multiple floating structures. The flow around each structure produces an unsteady wake that can impact neighboring structures, and cause force and kinematic fluctuations. These interactions may reduce operational efficiency, induce fatigue loading and thus maintenance costs, and can even lead to system failure. This four-year PhD project will develop methods for the identification of such dynamic interactions and the design of controllers that mitigate the force fluctuations on hydrodynamically interacting structures. The ultimate goal is to leverage these results to develop harm-minimization strategies that prevent the potential deleterious effects of such wake-structure interactions.

Last Application Date: May, 31th 2022

37. PhD Position Collaborative Control for Autonomous Ships in Multi-Vessel Environments

Over the last decade autonomous shipping has started to receive significant attention in view of improving efficiency challenges in the transport domain. Nowadays research places many efforts on the technological development and improvement of manoeuvring and intelligent control for individual autonomous ships. At the same time, it is expected that the future autonomous ships will not be operating only by themselves, but will be navigating in (sometimes crowded) multi-vessel environments, encountering numerous other waterway users and infrastructure operators (e.g. in large port areas such as the Port of Rotterdam, or in inner-city waterway networks as found in the city of Amsterdam). Moving towards this future situations in which both autonomous and human-operated ships are operating on and around waterways, the investigation and integration of new ways of interaction between autonomous ships and their environments in control methods, and being able to provide insight in guarantees on transport safety and efficiency in a society with sustainability considerations, become more and more important.

38. PhD Position CFD and lumped modelling of fluidized bed waste gasification

The PhD project ‘’Modelling and experimental validation of HTW bubbling fluidized bed gasification’’ is a collaboration between GIDARA Energy and TU Delft. Aim of the gasification process is to generate a syngas which, after cleanup and upgrading, will be suitable for fossil-free methanol production. The goal of this project is to arrive at a simple transient one-dimensional model for the gasifier at GIDARA Energy, with the ability to predict the residence time distribution of gas/solids, the (axial) temperature distribution, and the chemical conversion and selectivity to various products. Focus lies on a research-scale bubbling fluidized bed gasifier operating with solid waste feedstock, e.g. sewage, wood, household and industrial types of solid waste. To arrive at such a model, the output of more detailed Computational Fluid Dynamics models (without reactions) will be analyzed and reduced to simpler equations, after which chemical reactions will be added.

39. PhD position

This PhD aims at bridging this gap theoretically and empirically, using the Netherlands as a case study. From the pool of existing explanations of economic inequality and urban segregation (such as: assortative mating, selective migration, urban form, contextual effects etc.), which are the most relevant ones to explain economic segregation in cities in general, and in Dutch cities in particular? How do they interact, theoretically and empirically? The idea is to integrate existing multidisciplinary knowledge about economic inequality and urban segregation at three geographical scales: national, urban and individual. More specifically, the first objective of the PhD is to identify the mechanisms which explain the evolution of urban economic segregation in general (through an extensive and multidisciplinary literature review), to select and prioritise them, to analyse their compatibility and their potential interactions (for instance: how different urban forms influence the magnitude of contextual effects).

40. PhD Candidate Optomechanics and Space Missions

In 2016 Breakthrough Prize Foundation announced a $100 million initiative to realize microchip satellite for unmanned interstellar travel. By attaching these microchips to low-mass sails which are meters large and only nanometers thick, these satellites could be accelerated to ultra-fast speeds with lasers. This type of sail material would allow us to shorten times to Alpha Centauri, our nearest star, from 10,000 years to only 20 years – completely changing humanity’s reach within the universe. These unique capbailities that novel sail materials could open, but it’s also recognized by leading experts around the world that the largest challenge will be developing the lightsail. Why is that? Well, if one looks at the microchip, it need to be made smaller in x, y and z – which is in line with the conventional miniaturization we’ve been doing over the last half century. But the lightsails stand as a unique challenge because it’s the only nanoscale components which needs to be expanded to meter scales. Our lab has been pioneering metamaterials with extreme aspect ratio putting us in a unique position to bring this technology within reach.

41. PhD position on hematopoietic stem cell cultivation in a bioreactor

This project is part of a consortium that aims to unravel hereditary anemias using induced pluripotent stem cells (iPSCs) for the purpose of gaining more fundamental knowledge and novel therapies. This consortium focuses on hematopoietic stem cells (HSCs). Mature blood cells are continuously replenished by HSCs to make sure that essential mechanisms remain functional, such as oxygen tranport and defence again pathogens. The production of new blood cells is impaired in a plethora of diseases. Blood transfusion is often the only therapeutic option and stem cell transplantation the only curative treatment. To obtain viable therapies, it is essential to build up know-how on large scale cultivation of iPSC-derived autologous HSC transplantation production. The TU Delft contributes to this consortium with two PhD positions of which one is described in this vacancy. The PhD position in this vacancy is experimental and will establish HSC production at lab-scale. The second PhD position is computational and focussed on employing computational fluid dynamic simulations to design bioreactor cultivations.

Last Application Date: 28 May 2022

42. PhD candidate of Adaptable DEdesign Pathway Transitions (ADEPT)

How can different infrastructure managers come together to tackle societal and sustainability transitions? How can we design communication and information exchanges to facilitate administrators to plan for the future while responding to everyday challenges? The Faculty of Architecture of Delft University of Technology is looking for a PhD student for a four-year research project called “Adaptable DEdesign Pathway Transitions (ADEPT): Analysing and redesigning responsive communication and information exchanges in infrastructure-in-transitions”. This project is funded by NWO (principal investigator: Dr. Daan Schraven), and is a collaboration between the Faculty of Architecture (ABE), Faculty of Civil Engineering and Geosciences (CITG), Faculty of Technology, Policy and Management (TPM) at TU Delft, as well as the Erasmus Initiative the Dynamics of Inclusive Prosperity at Erasmus University Rotterdam. This PhD position is supervised by Dr Daan Schraven (CITG), Dr Martijn Leijten (TPM) and Prof. Dr. Paul W Chan (ABE, Main Promoter).

Last Application Date: 30 May 2022

43. PhD or Postdoc position on modeling of the atmospheric impacts of aviation emissions

Aviation emissions adversely impact the environment, contributing both to air pollution and climate effects. The projected growth in aviation emissions and projected decline in emissions from other energy and transportation sectors, result in aviation emissions’ impacts being increasingly important in both absolute terms and relative to other sectors. State-of-the-art atmospheric models that simulate the chemical and physical processes in the atmosphere are employed to assess the resulting atmospheric effects of emissions, as well as to understand the underlying processes and how they may evolve in the future. This position aims to utilise such models, together with observations, to extract metrics applicable in engineering and regulatory decision-making for sustainable aviation. Outcomes of this research are aimed to help guide decisions towards minimising the associated environmental impact of future aircraft and operations.

Last Application Date: 31 May 2022

44. PhD position: Understanding practices and stakeholder experiences of patching security in organizations

We are looking for a motivated researcher interested in collecting and analyzing various types of data from within the partner organizations—such as interviews, surveys, ticketing systems, and incident logs—to understand the organizational and technical practices around patching. Your degree and experiences could be from social science or an interdisciplinary program, but also from information system, telecommunications or computer science. You could have a background in social and organizational research and be willing to learn about the technical factors at play. Or vice versa: you could be a technically trained person with an interest in the social aspects. You would work in close collaboration with researchers from computer science and social science disciplines.

Last Application Date: Position will remain open until filled

45. PhD Position Smart Meta Membranes to fight against (bio)fouling

Currently fouling is the major obstacle that hinders the long-term operation and wide-spread utilisation of membranes in various applications. A promising solution to fouling is introduction of stimuli-responsive membranes, whose pore sizes and/or surface properties can be altered via external stimuli. While first stimuli-responsive membranes have been proposed and demonstrated in the literature, their means to control the gating state are infeasible for countering fouling in an economically and ecologically feasible way. In this PhD project you will develop a novel type of smart membrane that counteracts fouling via mechanical and electromechanical agitation.

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PhD COURSE ON

Iterative methods for linear systems of equations, by martin van gijzen, delft university of technology, the netherlands, october 20-24, 2008, department of informatics and mathematical modelling, dtu, denmark, course description.

Course requirements

Format of the course, overview of the course, day 1. introduction to iterative methods, day 2. projection methods (1), day 3. projection methods (2), day 4. projection methods (3), day 5. preconditioning techniques, useful links.

• The book Iterative methods for sparse linear systems by Yousef Saad gives a wealth of background information.
• Another good book is Lecture Notes on Iterative Methods by Henk van der Vorst.
• Netlib is an extremely useful collection of mathematical software, papers, and databases.
• The book Templates for the Solution of Linear Systems plus MATLAB scripts of the iterative methods can be found here .
• The MATRIX MARKET is the classical collection of test matrices.
• A large number of sparse test matrices can be found in Tim Davis' matrix collection at the University of Florida.

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Delft University of Technology (TU Delft)

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Although the University only received its current name in 1986, it has been providing technical education for over 170 years. We position ourselves as an open academic community which, through its scientific personnel and graduates, is represented throughout the academic world and is rooted in our own regional and national, social and economic environment.

We offer 16 Bachelor’s programmes and over 35 Master’s programmes in the fields of science, engineering and design. All our Master’s programmes are taught in English, as well as (at the moment) the Bachelor’s programmes Aerospace Engineering and Applied Earth Sciences; our other bachelor’s programmes are offered in Dutch.

Research at TU Delft encompasses virtually the entire spectrum of engineering sciences and it is this breadth that forms the basis for TU Delft's strong scientific profile. The research questions we tackle are strongly inspired by important future challenges facing society.

TU Delft Career Centre works with students, PhDs, PDEngs and young alumni to help them build their employability and career management skills by providing a range of careers workshops, programs and resources. In addition, we work closely with employers, professional organisations and alumni to create positive connections between them, the University and students.

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Delft University of Technology (TU Delft) Scholarships

Below you will find scholarships related to Delft University of Technology (TU Delft). Distinction can be made between scholarships provided by the University and those provided by independent providers.

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For a complete overview of scholarships for Delft University of Technology (TU Delft), visit our scholarship search .

University Ranking

Student services.

Delft is well known for being a friendly city with a lively student population. It is the city with the largest number of active student societies in the Netherlands. You could also join a study association (studievereniging). Study associations are attached to a particular programme, whereas student societies are open to all.

Housing services

Make sure to arrange your accommodation before arriving in the Netherlands, as you are officially required to register a valid Dutch address within 5 days after arrival in the Netherlands. TU Delft suggests three ways to arrange accommodation. See below for information on each of these options:

• Finding accomodation through rental agencies or private landlords
• Lodging with family, friends, and other acquaintances
• Finding accomodation using TU Delft's housing services

Library services

It is Open Access Week this week. At TU Delft OPEN Publishing, the TU Delft scientific publisher, academic staff can get help with the open access publishing of books, journals and textbooks. Researchers Baukje Kothuis and Junzi Sun are already using this service.

ICT services

For all your questions relates specifically to ICT, you can go to one of the five Student IT Desks (S.I.D.). Every Student IT Desk is staffed by students whose own knowledge and experiences mean that they enjoy providing assistance to you.

Medical services

TU Delft advises all students to have sufficient medical insurance and personal liability insurance. It is your own responsibility to be sufficiently insured on the date of your departure to the Netherlands.

Campus life

Daily, about 27.000 people travel across our campus: students, scientists, visitors, and employees of the university and the companies on campus. Stretching over 161 hectares, the campus is larger than downtown Delft, and one of the largest university campuses in the world. 

The campus has been equipped with an extensive bicycle and pedestrian road network. The TU Delft campus has a green, parky character. Large parts of the campus are therefore only accessible on foot, by bike, or public transport. For motorists there is the campus ring road, which circles the entire campus. Clear signage on the campus ring guides you easily to the central parking lots. From there, every destination is reachable on foot.

Sports facilities

On the TU Delft campus, you will also find the Unit Sport & Culture. As a student, you will be eligible to buy a sports card at a reduced rate. The card entitles you to unrestricted participation in sports training and courses. The cultural programme comprises a varied range of courses and workshops relating to music, theatre, dance, design, media, technology and many others.

Student clubs

• Student societies
• Study associations

Every programme at TU Delft has its own study association. A study association represents student interests, organises programme-based activities, such as study trips and excursions, and provides entertainment. Members of a study association usually benefit from substantial discounts on the textbooks:

• D.S.V. Nieuwe Delft
• Delftsche Studenten Bond
• Delftsch Studenten Corps

Delft, South Holland, Netherlands

Other programmes from this organisation.

• 96 Short Courses
• 93 Online Courses
• 38 (Pre-)Masters
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44 PhD Degree-Fully Funded at Delft University of Technology (TU Delft), Netherlands

Delft University of Technology (TU Delft), Netherlands invites online Application for number of  Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Delft University of Technology (TU Delft), Netherlands.

Eligible candidate may Apply as soon as possible.

(01) PhD Degree – Fully Funded

PhD position summary/title: PhD/Postdoc position in brain-inspired hardware for continual learning

While smart devices outline strong promises ranging from productivity gains in industry to smart cities and health-monitoring wearables, one major challenge hinders their deployment: long-term robustness. Once deployed, smart devices are currently unable to autonomously adapt to changes in their environments, new user features, and evolving task requirements. This implies either electronic waste through device replacement, or increased battery drain and maintenance costs for frequent over-the-air device updates.

Deadline : Open until filled

View details & Apply

(02) PhD Degree – Fully Funded

PhD position summary/title: PhD positions Biodegradable Medical Implants

Our group is developing biodegradable MEMS (Micro-Electro-Mechanical Systems) for medical implants, a new class of microsystems made entirely of biodegradable materials, including sensors, actuators, and electric circuits for wireless operation. Fabricating temporary-use devices from biodegradable materials avoids the need for a second surgery to remove the implants after their period of use. The development of new functional biodegradable materials (with tailored magnetic, electrical, mechanical, and chemical properties) and cleanroom-compatible fabrication processes (micromolding, thin films deposition, photolithography, etching) will enable the realization of fully biodegradable microsystems while retaining the established advantages of MEMS (small size, high precision, fast response time, low energy consumption, reliable large-scale production).

Deadline : February 1, 2024

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(03) PhD Degree – Fully Funded

PhD position summary/title: PhD position Foundation of Stochastic Partial Differential Equations

At the Delft Institute for Applied Mathematics (DIAM), part of Delft University of Technology (TU Delft), NL, a full-time PhD position in the mathematical analysis of stochastic partial differential equations is offered. The PhD candidate will be supervised by Prof. dr. ir. M.C. Veraar (part of the  Analysis Group  at DIAM). The focus of both of the projects is on well-posedness, regularity, long-time behavior, large deviations and/or approximation of solutions to parabolic and hyperbolic SPDEs of semi- and quasi-linear type. A background in Probability Theory and/or Analysis is preferable. For more information regarding Prof. dr. ir. Veraar’s research, please visit https://fa.ewi.tudelft.nl/~veraar/

Deadline : January 31, 2024

(04) PhD Degree – Fully Funded

PhD position summary/title: PhD Positions Graduate Research on Worldwide Challenges

Societal challenges to be tackled under the UN Sustainable Development Goals (SDGs), especially in Africa include food security, accessible and affordable global healthcare, climate change and the energy transition, housing, clean water, political stability, sustainable production and more. Research is crucial to accelerating real-world solutions. As a PhD student your challenge is to realise your vision by conducting high-quality research. Would you like to work with leading scientists, NGOs, companies, government authorities and citizens on the African continent, while developing your competencies and career as a researcher? Join the Graduate Research on Worldwide Challenges (GROW) programme of five leading universities in the Netherlands. At GROW we have raised funds for 51 PhD positions, including funding from the European Union’s Marie Skłodowska-Curie Actions (MSCA) COFUND programme. With your background in natural sciences, social sciences & humanities or engineering you will put forward your idea for original SDG-oriented research. After selection, your supervisors will help you draw up your research proposal, with which you will cross the boundaries of disciplines and sectors in society. The possibilities are near infinite: you could e.g. conduct research into the water-energy-food nexus, harness the potential of biotechnology for sustainable production, or study the interaction between countries’ legal frameworks and the SDGs, how to improve access to education or how to promote decent employment through multinational businesses.You will conduct your research at Delft University of Technology, University of Amsterdam, Vrije Universiteit Amsterdam, Leiden University or Erasmus University Rotterdam. In addition, you will spend time in Africa to do fieldwork.

Deadline : 31 January 2024

(05) PhD Degree – Fully Funded

PhD position summary/title: PhD student: High-throughput Electron Microscopy Development

Developing new pharmaceuticals, understanding how cancer cells respond to chemotherapy, or building ever more powerful computer chips – all this, and more, requires imaging at the smallest possible scales. Within the national research programs NEXTGEN HighTech and 3DNI we develop technology for super-fast 3D imaging of atoms, molecules, and cells. To achieve this goal, we engineer novel light and electron microscopy technology. Combining these with computer algorithms and artificial intelligence unveils details smaller than the wavelength used for microscopy.

Deadline : 31-01-2024

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(06) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Pathogen Transport and Fate Modelling in Riverbank Filtration

Riverbank filtration is a nature-based treatment technique for drinking water. You will investigate how pathogens are transported and removed when surface water infiltrates riverbank sediments. This 4-year PhD position is part of the research project ‘Aquifer Treatment as Green Purification Technology for Sustainable Drinking Water Supply’ (AQUIPURA), funded by the Dutch Science Foundation (NWO). In this project, we will study the removal of various types of pollutants during riverbank filtration with field monitoring, lab experiments, and mechanistic model development. AQUIPURA is a Chinese-Dutch transdisciplinary consortium with pilot sites in both the Netherlands and China. The advertised position is one of four PhD positions available in the AQUIPURA project in different scientific disciplines.

Deadline : 15 January 2024 

(07) PhD Degree – Fully Funded

PhD position summary/title: PhD Position from Interior to Orbit: Evolution of Outer Solar System Moons

The surfaces of the outer solar system moons look strikingly different. Io’s surface is doted by active volcanoes; Europa’s is crisscrossed by cracks and ridges; and Enceladus’ southern hemisphere has prominent cracks from which water plumes emanate. In contrast, other moons (e.g., Callisto, Mimas) are heavily cratered. This diversity evidence different evolutionary pathways. The evolution of the moons is shaped by the interplay between their interior and orbital dynamics. The exchange of energy between a planet and their moons via tidal and orbital interactions drives the interior evolution, which in turn is reflected in the moons’ surface characteristics. Recent discoveries challenge some of the main assumptions often invoked when studying the interior-orbital evolution of such systems. The fast orbital migration of Titan, measured by optical and radiometric data from Cassini, evidences that classic gas giant models are too simplistic; advances in material sciences show that current rheology models do not capture the complex behaviour of rock and ice; and recent theoretical work suggests that ocean tides in subsurface oceans, always ignored, can dramatically alter the evolution of icy worlds. In this project, you will apply state-of-the-art interior models for both gas/ice giants and their moons to examine the impact of these paradigm shifting discoveries on the evolution of the moons.

Deadline :   January 14, 2024

(08) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Developing Ecosystem Digital Twins with Remote Sensing to Combat Biodiversity Loss

Biodiversity loss has far-reaching and long-lasting consequences to our way of life, leading to reduced food security, increased vulnerability to natural disasters, deteriorating resilience to climate change, species loss, declining human health as well as economic and cultural losses. To combat this threat, international goals and targets have been defined in the 2022 Kunming-Montreal global biodiversity framework. Given the unprecedented rate of global change in climate, land use, and urbanisation, it is urgent to tackle these targets and goals. Of these challenges, the main pressing one in The Netherlands concerns the nitrogen deposition damage to biodiversity. Dutch nitrogen emissions per hectare are reported to be the highest in Europe. As such, ensuring effective control of nitrogen levels is important, which will require an expanded package of solutions based for the short (2030) and medium term (2050), as well as for locations close to and further away from Natura 2000 areas. For this purpose, the area of study will be focused on the Veluwe, as it hosts the largest nature area in the Netherlands in close proximity to both several recreational and agricultural facilities. To contribute to challenges of this area, biodiversity monitoring needs to transform into predictive science using ecosystem Digital Twins.

Deadline : 12 January 2024

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(09) PhD Degree – Fully Funded

PhD position summary/title: PhD 3D Super-resolution microscopy

We are looking for a candidate with a strong background in physics or in a physics related discipline. In particular, we want the candidate to have expertise in a branch of optical imaging, and development of experimental setups in, in combination with a skill set in computational techniques for developing theory and running simulations and data analyses. Good programming skills in e.g. Matlab, Python, C, or Cuda, are desired. Above all, we are interested in candidates with a passion for making methodological advances in science and technology.

Deadline : 9 January 2024

(10) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Computer Science on Algorithms for Planning and Monitoring for Reliable Automation

We consider human feedback to be essential for achieving reliability of automation in the real world. You will conduct both theoretical and empirical research. The project is inspired by real-world case studies from the Netherlands Railways (NS) and we envision results to have both significant scientific and practical impact. You will be part of the Algorithmics Group in the Department of Software Technology of the Faculty of Electrical Engineering, Mathematics and Computer Science. As a PhD researcher, you will reinforce and extend the group’s expertise in the interdisciplinary field combining real-time monitoring, planning under uncertainty, optimization, and machine learning. You will work in a dynamic and diverse environment of other PhD and postdoc researchers excited about making theoretical and algorithmic contributions in intelligent decision making. In addition, you will collaborate with experts at the Netherlands Railways and ProRail and four PhD students addressing other aspects of railway automation.

Deadline : January 9th, 2024

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(11) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Data-driven Approaches for Monitoring and Assessing Contaminants in Marine Environments

In this PhD project we will develop novel data-driven and machine-learning-based approaches for monitoring, assessing, and forecasting the evolution of concentration of contaminants (such as microplastics, antibiotics, etc.) in coastal and ocean waters. This PhD project is part of the Horizon Europe project ONE-BLUE (Integrated approach to assess the levels and impact of contaminants of Emerging concern on BLUE health and biodiversity modulated by climate change drivers). Contaminants of emerging concern (CECs) comprise a large variety of contaminants, including chemicals, microplastics, antibiotics, etc. CECs have been found in marine environments, and the bio-accumulation and bio-magnification of some CECs has been proven. In this context the goal of ONE-BLUE is to develop an integrated system for monitoring CECs in coastal and ocean waters, and assessing and forecasting their impact on marine ecosystems and their biodiversity, including combined effects due to climate change.

Deadline :  8 January 2024

(12) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Machine Learning for Multi-Sensor Detection and Classification for Autonomous Underwater Robots

In this PhD project we will develop novel machine-learning-based approaches for detection and classification for underwater robots using video, sonar images, and magnetic sensor data. The overall aim is to locate, detect, and collect unwanted objects from coastal waters and seabeds. In this way the project contributes to keeping coastal waters clean, to protecting the environment, and to realizing global sustainability objectives. This PhD project is part of the Horizon Europe project SeaClear2.0 (Scalable full-cycle marine litter remediation in the Mediterranean: Robotic and participatory solutions, see also  https://www.seaclear2.eu ). The goal of SeaClear2.0 is to develop a collaborative multi-robot solution engaged in collecting marine waste using autonomous underwater robots. The aim is to realize efficacious marine litter detection and collection, while at the same time minimizing impact on underwater flora and fauna like seaweed and fish. This goal will be reached by bringing together state-of-the-art technologies from the fields of machine learning, control. optimization, and marine technologies and by building a stable and trustworthy system that is able of tackling sea and ocean pollution.

Deadline : 8 January 2024

(13) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Effect of Defects in Wind Turbine Blade Manufacturing

As a Ph.D. researcher, you will spearhead a critical investigation into the effects of manufacturing defects within the spar cap/shear web assembly—the backbone of wind turbine blades. Your work will address the inherent challenges posed by defects such as fiber misalignment, porosities, and uneven cure, which jeopardize the structural integrity and longevity of the blades.

Deadline :    7 January 2024

(14) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Fatigue Crack Initiation and Propagation in Complex Bonded Steel-Composite Joints

The research focus of the department Engineering Structures is placed on the investigation and development of resilient, smart and sustainable structures and infrastructures as well as on the structures for energy transition. Within these main themes research is carried out into the dynamics of structures, mechanics of materials related to e.g. climate change, modelling and design of railway systems, multi-scale modelling of pavement materials and structures, reuse of materials, structures and parts of structures, assessment methods for structures, smart monitoring techniques, design methods, replacement and renovation of civil infrastructure and development of new materials and maintenance techniques. The groups are using the unique Macro Mechanics Laboratory for full scale testing, monitoring and modelling of structures to facilitate implementation of innovations. The department delivers a large number of courses both at the BSc and MSc level.

Deadline :7 January 2024 

(15) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Multivariate Uncertainty Characterization of Critical Components in Manufacturing Processes

The manufacturing sector is experiencing an evolving trend, marked by exponential growth in additive manufacturing, the ongoing 4th industrial revolution (Industry 4.0), and increasing demand for customized products. However, its production and economic growth must align with essential sustainability guidelines, focusing on minimizing energy losses. To fully sustain this transition of the EU manufacturing sector, two key challenges need to be tackled: production process uncertainty (e.g., human errors, geometrical and material variabilities) and the complexity of manufactured goods with critical parts or components. In order to tackle these challenges, the Active PRoduct-to-Process LearnIng fOR Improving Critical Components Performance (APRIORI) training network has been created. This project (no. 101073551) is funded under the Marie-Sklodowska-Curie Actions Doctoral Networks within the Horizon Europe Programme of the European Commission.

Deadline :   7 January 2024  

(16) PhD Degree – Fully Funded

PhD position summary/title: PhD position Stochastic processes on scale-free and spatial random graphs

We are looking for a highly motivated candidate to work under the supervision of Dr. Julia Komjathy, Associate professor in the Applied Probability group of Delft Institute of Applied Mathematics (DIAM). The PhD position is in the area of discrete probability theory, random graphs and stochastic processes on random graphs. Spatial networks and processes on them are the hidden backbone of our modern lives: the internet, social media, electric grids, road networks, and infectious diseases, for example. Since the 1950’s several simple models have been developed to study these phenomena. Surprisingly, even the simplest models exhibit deeply complex behaviors: they have become a focal point for modern Probability Theory. Recently, we discovered a model class that contains many simple classical models but is much larger, without being more complicated: kernel‐based spatial random graphs (KSRGs). KSRGs exhibit an even richer level of complexity.

Deadline : January 7, 2024  

(17) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Uncertainty Quantification of Physics-Based and Machine Learning Models of Critical Industrial Components

The manufacturing sector is and will continue to experience an evolving trend, marked by the exponential growth of additive manufacturing, the ongoing 4th industrial revolution (Industry 4.0), and an increasing demand for the customization of manufactured products. However, the production and economic growth of the manufacturing sector need to meet unpostponable sustainability guidelines and criteria. This means minimizing energy losses as much as possible. To fully sustain this ongoing transition of the EU manufacturing sector, two key technical challenges need to be simultaneously tackled: the uncertainty induced by the production process (e.g., human errors, geometrical and material variabilities caused by the manufacturing process and/or by the machine setup) and the increasing complexity of the manufactured goods characterized by the critical parts or components. In order to tackle these challenges, the Active PRoduct-to-Process LearnIng fOR Improving Critical Components Performance (APRIORI) training network has been created. This project (no. 101073551) is funded under the Marie-Sklodowska-Curie Actions Doctoral Networks within the Horizon Europe Programme of the European Commission.

Deadline : 7 January 2024

(18) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Operational Decision Support for Reconfigurable Value Chains

The manufacturing industry faces turbulent market conditions, uncertain and extensive sustainability requirements, and increasingly challenging network disruptions. In this dynamic environment, industrial networks and manufacturing/production chains need to be resilient and reconfigurable. However, network and chain reconfigurations are particularly difficult since multiple stakeholders, with different needs and values, are typically involved. Moreover, in such dynamic environment interactions between stakeholders also change over time. Therefore, solutions to monitor, measure and control the dynamic interaction process between multiple stakeholders are needed. This is a preliminary requirement to enable fast and cost-effective network reconfigurations.

Deadline : 6 January 2024 

(19) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in Global Value Chain Economics

Technology was an enabler for the emergence of international value chains and will remain highly relevant for future reconfiguration. The competition for technological leadership in the digital domain and resulting geopolitical frictions are as relevant as the growing awareness of the vulnerabilities of existing supply chains. These vulnerabilities reflect the prioritization of efficiency by lead firms in the organization of their production networks, which came at the expense of supply chain resilience and robustness. Concerns about resilience have grown with ‘systemic rivalries’ and the strive for ‘technological sovereignty’. It is unclear yet whether the ‘reshoring’ of economic activities will make value chains less vulnerable to adverse shocks. You are expected to do research in the field of international value chain economics leading to a PhD thesis. Your work will contribute to the research of the ETI section, which has a quantitative focus. The research undertaken is expected to be both original and related to ‘real world’ problems, thus contributing to existing societal challenges.  

Deadline : 5 January 2024

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(20) phd degree – fully funded.

PhD position summary/title: PhD position Sequential Decision Making

We are looking for a motivated candidate to work on the topics of theoretical machine learning, specifically in the domain of sequential decision making, which includes bandit problems and theoretical reinforcement learning. The primary objective of this project is to analyze and design learning algorithms and provide formal guarantees regarding their performance. To achieve this, you will need to apply advanced mathematical and statistical techniques. The project is situated in the context of efficient online learning, with a focus on scaling with model complexity and function approximation.

Deadline : January 5, 2024

(21) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Thermal Management Systems for Sustainable Aviation

The Thermal Management and Air Supply Systems (Thermische and Pneumatic Systemen) project is part of the large (383m€) Dutch Research program on Sustainable Aviation (Luchtvaart in Transitie) funded by the Ministry of Economic Affairs and Climate Policy (Ministerie van Economische Zaken en Klimaat). In this project, the Propulsion and Power group teams up with Aeronamic and NLR with the objective of developing next-generation Vapour Compression Cycle System (VCS) technology to provide thermal management aboard future aircraft. The key component of this system is a unique high-speed centrifugal compressor, characterized by high power density, which extracts the working fluid from the evaporator to deliver it to the condenser. The research activities involve the further development of an in-house software environment to perform multi-point preliminary design optimization of the VCS. Given that the VCS performance strongly depends on the compressor operating map and that the overall system weight has to be minimized, the optimization of the VCS thermodynamic cycle has to be addressed simultaneously with the preliminary design of the compressors and the heat exchangers. To reduce the system model complexity, a reduced-order model of the centrifugal compressor has to be derived and implemented in the in-house software environment. At the same time, as the design specifications of the compressor and those of the thermodynamic cycle depend on the characteristics of the working fluid, part of the research will be dedicated, with the support of the project partners, to the identification of the optimal working fluid for the application. Moreover, the component models of the VCS will be validated by experimental studies in the unique IRIS setup operated by the group. The IRIS implements an inverse organic Rankine cycle and provides a test section for high-speed compressors and another for the testing of heat exchangers.

Deadline : 3 January 2024  

(22) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Environmental Vibrations and Acoustic Emissions from Offshore Foundation Installation

Foundation piles for offshore wind become larger (XXL piles), and installation technologies develop further to drive those piles at target penetration depths. These piles radiate noise at low frequencies, usually below 150Hz, for which a more accurate soil description is required (and soil-structure-fluid interaction) since the majority of the energy (>90%) is inserted into the soil and a significant part can channel back into the seawater. Moreover, current numerical models are slow and do not allow for large number of simulations which are usually required for design purposes. At the same time, vibratory installation technologies are under development in order to reduce the noise at-the-source. To date, no validated model exists to predict the noise radiation and seabed vibrations from vibratory installations offshore. This PhD work aims to develop a semi-analytical model for underwater noise emissions applicable to XXL piles for vibratory and impact piling installations. The predictions of the mathematical model will be verified against lab-scale experiments and full-scale datasets. The proposed models also aim to provide a statistical determination of the possible uncertainty due to the variation or lack of accurate dynamic soil parameters. The model will be amended with noise mitigation elements at-the-path to the receiver, to assess the noise mitigation performance of various systems, i.e. air-bubble curtains, HSD systems, etc., and to optimise the overall mitigation strategy. The outputs of this model , including the particle motion and vibrations, shall provide input to the bio-acousticians and policymakers to assess the noise impact on the fish, mammals and invertebrates.

Deadline :   31 December 2023

(23) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in Quantum Networks

The vision of a Quantum Internet is to provide fundamentally new internet technology by enabling quantum communication between any two points on earth. Such a Quantum Internet will – in synergy with the ‘classical’ Internet that we have today – connect quantum processors in order to achieve unparalleled capabilities that are provably impossible using only classical communication.

(24) PhD Degree – Fully Funded

PhD position summary/title:   PhD Position Radar Signal Processing for Next Generation Vehicular Networks

Automotives in next-generation vehicular networks will be equipped with advanced communication and multi-modal sensing capabilities. Existing radar sensing solutions, however, are not designed to leverage this connectivity and sensing infrastructure. The PhD project will address this gap by developing advanced signal processing algorithms that make the best use of the available infrastructure. We have a full-time PhD vacancy focusing on distributed signal processing on radar data using the communication backbone network. The goal is to exploit vehicular connectivity to enhance perception in mixed traffic conditions where vehicles have varied sensing capabilities. The candidate will be embedded in the research group of Dr. Geethu Joseph and will have close collaboration with colleagues from the section Signal Processing Systems and the department Microelectronics within the Faculty of EEMCS at the TU Delft and the Faculty of 3mE. The PhD candidates will also work in close collaboration with industry experts from NXP. 

Deadline : December 31, 2023

(25) PhD Degree – Fully Funded

PhD position summary/title:   PhD Signal Analysis for Biomedical Imaging

We offer an exciting PhD position at TU Delft in the field of biomedical image analysis and data processing. Apply now and contribute to a better reconstruction of complex fiber networks, e.g. nerve fibers in the brain. The position is in the group of Dr. Miriam Menzel, at the Department of Imaging Physics. The group has developed an imaging technique that exploits the scattering of visible light to visualize complex fiber structures in biological tissues. Your main focus will be to analyze the measurement data (light scattering patterns), and develop enhanced image processing and signal analysis tools to improve the reconstruction of fiber structures and to extract additional information from the measured scattering signals, such as tissue composition or fiber sizes. Prior knowledge about the imaging technique and/or biological tissues is not required. You will have access to a large database of measured scattering signals from known fiber structures which you can use to train your algorithm, and to learn how to better interpret the data, recognize patterns, and distinguish between different fiber structures – in the brain as well as in other biological tissues. Computational Scattered Light Imaging (ComSLI) is a highly promising new imaging technique that resolves fiber pathways and their crossings with micrometer resolution. While other scattering techniques raster-scan the tissue with a light beam and measure the distribution of scattered light behind the sample, ComSLI uses a reverse setup: The whole tissue section is illuminated from many different angles and the normally transmitted light is measured, thus enabling much higher resolutions and requiring only standard optical components (LED light source and camera).

(26) PhD Degree – Fully Funded

PhD position summary/title:   PhD Position AI for Quantitative Ultrasound Biomicroscopy

Artificial intelligence (AI) concepts are propelling nearly all computer vision-intensive applications in life science, biomedical research, space exploration, high-tech manufacturing, and security technology. Modern neural networks are trained to perform a specialized task using very large sets of data. The feature of adapting to data by extracting the essential information and using it to form decisions or make predictions in a “black box” is what makes this approach so powerful for many applications. For scientific applications, however, this black box causes a serious dilemma: what is gained in performance is lost in interpretability of the solution. Also lost is the ability to integrate existing physical knowledge of the system. The aim of the IRIS and CHEME lab is to open the black box of AI and develop methodologies for context-independent, knowledge-based learning of imaging systems that will address fundamental challenges in all quantitative imaging applications. Physics prior and interpretability will be emphasized in our AI methodology development. The proposed AI-technology will be applied to electron, optical, and ultrasound imaging to unravel dynamic molecular processes in living organisms: conformational ensembles of proteins, single-molecule dynamics in thick tissue and super-resolved vasculature mapping in real-time. Within IRIS, you will pursue fundamental advances at the interface of AI, ultrasound imaging and bioengineering to visualize cellular processes deep within living organisms.

Deadline : 30 th of december 2024

(27) PhD Degree – Fully Funded

PhD position summary/title:   PhD Position Storm Wave Interaction with Hybrid Dune-Dike Coastal Defences

We are looking for an enthusiastic PhD candidate to join the international research team of the European project DuneFront. DuneFront aims at developing new knowledge and tools to optimize dune-dike hybrid Nature-based Solutions as a new generation of sustainable, aesthetic, nature-inclusive coastal protection. It focusses on ecology (e.g. Marram grass) and morphology of the dune, the safety of the combined dunes and dikes under waves and storm surges, and – most importantly – the interaction between these.  Within this multi-disciplinary project, your specific focus will be on the hydraulic efficiency of the dune-dike hybrid defence during extreme conditions. In such a hybrid coastal defence, the dune initially acts as a buffer and prevents wave overtopping of the dike. As the dune erodes, the dike becomes increasingly exposed to the waves. How storm waves interact with and impact both the (partially) eroded dune and the dike is still unknown because these systems have only been studied separately in the past. As a result it is still unclear how both systems, when combined, should be designed to reach a given safety level.

Deadline : 20 December 2023  

(28) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Probability Theory

The PhD position is in the area of probability theory and statistical mechanics. The PhD project is a NWO funded “open competition project” which deals with the study of metastability for dilute spin systems. These are classical models of statistical mechanics with bond disorder, i.e. where deterministic pair interactions are replaced by random variables. The main objective is to develop a robust mathematical approach to study the metastable behaviour of these models. Metastability is a universal phenomenon, where a system spends a long time in a state of “pseudo equilibrium” until it crosses over to a stable state. This project aims at identifying the quantities characterising the stochastic nature of this phenomenon, such as the average and the distribution of the random transition time.   

Deadline : 19 December 2023  

(29) PhD Degree – Fully Funded

PhD position summary/title:   PhD 3D digital imaging metrology of semiconductor devices

Integrated circuits are the cornerstone of our digital society. The practical use of integrated circuits depends strongly on low-cost, high-quality assembly, packaging, processing, inspection, and connection of chips into electrical components. Control of these processes is done with high-performance optical imaging. When imaging at high resolution, wavefront aberrations deteriorate the image quality of these tools. Since these aberrations lead to a loss of accuracy in the alignment of the semiconductor devices it is of paramount importance to mitigate them. High resolution imaging over a large field of view will be implemented for digital holography. When imaging the wavefield over a large field of view the aberrations are spatially dependent. Therefore they require advanced non-isoplanatic correction techniques. The PhD candidate will model non-isoplanatic aberrations in optical systems and develop computational techniques to compensate for them. These techniques will then be implemented in a lab-based experimental digital holography setup. The performance of the developed techniques will be quantified and optimized both in terms of obtained spatial resolution as well as in computational times. Moreover, since these aberrations have to be corrected in an industrial-type high-throughput environment the computations for removing them have to be performed at high speed.

Deadline : 15th of December 2023

(30) PhD Degree – Fully Funded

PhD position summary/title: PhD De-speckled optics using 3D written diffractive free-forms

We are seeking a candidate with a robust background in physics or a related discipline such as electrical or mechanical engineering. The ideal candidate will possess excellent programming and experimental skills, the ability to think abstractly, and the capacity to apply mathematical concepts to practical problems. While experience in optical imaging or optical illumination is highly desirable, it is not a strict requirement. The successful candidate will be flexible, capable of working independently as well as collaboratively, and driven by a passion for advancing the fields of science and engineering.

Deadline : 15-12-2023

(31) PhD Degree – Fully Funded

PhD position summary/title:   PhD Optimization of optical imaging systems

We are seeking a candidate with a robust background in physics or a related discipline such as electrical or mechanical engineering, or aerospace. The ideal candidate will possess excellent programming skills, the ability to think abstractly, and the capacity to apply mathematical concepts to practical problems. While experience in optical imaging and lens design is highly desirable, it is not a strict requirement. The successful candidate will be flexible, capable of working independently as well as collaboratively, and driven by a passion for advancing the fields of science and engineering. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the  Graduate Schools Admission Requirements .

Deadline :15-12-2023

(32) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Biomolecules as antennas

Transduction is happening everywhere around us. In biology, cells transduce signals from one cell to another, from the outside environment to the inside, and across different cellular compartments. An example of transduction in engineering is the use of microphones, which convert sound waves into electrical signals via intermediate mechanical oscillations. However, there is currently a lack of technology to emit and detect in the THz range of the electromagnetic spectrum; a problem also known as the ’THz gap’. To achieve broad band quantum transduction, particularly in the THz range, one solution is to use biomolecules. Biomolecules are known to absorb in that range, and they have the potential of being modified and tuned, therefore making them ideal THz bioantennas. This PhD project will explore and develop THz biomolecular antennas, possibly with making use of lipid bilayers, and then interface such bioantennas with quantum materials.

Deadline :  15 -12-2023

(33) PhD Degree – Fully Funded

PhD position summary/title: PhD position mathematical modelling of salt intrusion in rivers

In coastal rivers, salty seawater intrudes into river estuaries, reducing the availability of precious fresh water and potentially salinizing ground water. Worldwide, salt intrusion is increasing due to e.g. sea level, extreme droughts and human interventions. Various physical processes cause the intrusion of salt. It is still poorly understood what processes are dominant in different rivers and how these processes may change looking 50-100 years into the future. A better understanding of these processes and how they change is an essential step in describing the vulnerability of our rivers and defining potential mitigating interventions. The modelling of salt intrusion to create such better understanding is mathematically challenging. You will develop a physics-based mathematical model that has unique abilities for analysing physical processes of salt intrusion efficiently for large numbers of environmental conditions. The model is based on nonlinear partial differential equations in three-dimensional space. Constructing this model is mathematically challenging and requires knowledge and skills in analytical techniques for the solution of partial differential equations (PDEs), numerical discretisation using Finite Element Methods, numerical mathematics, programming (Python) and high-performance computing. You will be challenged in all these subfields to find the best balance between model realism, analysability and computational speed. The model builds on techniques developed by the supervisor in recent years and will result in an open-source toolbox.

Deadline : December 15, 2023

(34) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Printed Multifunctional Bone Implants

Thanks to innovative biomaterials and new manufacturing technologies (e.g., 3D printing), orthopaedic implants have undergone significant advancements in recent years. However, they still fail due to insufficient osseointegration. To address this problem, biomaterials as well as design- and patient-specific factors should be considered. The EU Interreg Vlaanderen-Nederland project (Prosperos-II) aims to develop a new generation of 3D-printed personalized orthopaedic implants and orthoses. The research will focus on combining controlled multiscale geometry of 3D printed bone implants with surface physicochemical cues for development of osteoinductive implants. 

Deadline : 15 December 2023  

(35) PhD Degree – Fully Funded

This position is part of the EU Interreg Vlaanderen-Nederland project (Prosperos-II) that focuses on generation of 3D printed personalized orthopedic implants and orthoses. The research relevant for this position aims at development of osteoimmunomodulatory constructs for maximizing bone regeneration taking into account patient pathophysiological conditions. The successful candidate will have to determine strategies to incorporate the osteoimmunomodulatory function into the biomaterials by using physical, mechanical and/or biochemical cues. In addition, the PhD researcher will assess the biomaterial-induced osteoimmunomodulatory effects and their impact on new tissue formation together with the underlying mechanisms. Therefore, mono- and co-culture models, dedicated assays, and multi-scale imaging of the biointerface along tissue regeneration process will be included in the methodology.

Deadline : 15 December 2023

(36) PhD Degree – Fully Funded

PhD position summary/title:   PhD position Signal Processing for Low-resolution Digital Millimeter Wave Radars

The Delft Center for Systems and Control (DCSC) is offering a PhD position under the newly funded ‘Signal Processing for Environment-Aware Radar’ (SPEAR) project. The project will be carried out in the research group of Dr. N.J. Myers, in collaboration with researchers at the faculty of 3mE and the faculty of EEMCS. In this project you will work on industry-relevant scientific challenges in collaboration with industry experts from NXP. Dr. Myers’s group at TU Delft develops and analyzes novel signal processing techniques for communications and sensing with wireless systems. We focus on both applied and theoretical aspects of challenging problems in connected automotive and radars. Currently, fully digital automotive radars face limitations in resolution due to the use of a limited number of antennas and low bandwidth settings, which are aimed at minimizing power consumption. A promising low-power alternative is one that uses low-resolution radar components which operate at high bandwidths. Radar signal processing with such a hardware, however, is extremely challenging due to the stringent constraints imposed by coarse quantization. Furthermore, these hardwares generate massive amount of information that is difficult to process using conventional techniques. To address both these challenges, we seek a talented individual to develop low-complexity radar signal processing techniques capable of effectively operating under coarse quantization effects at the receiver.

(37) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate – Novel Molecular/Metallic Electrodes for CO2/CO Conversions

The open PhD position will fit within this larger team of 5-8 PhD and postdocs, while working on an independent research project embedded with the ERC Starting Grant title RECALLCO2. Here the candidate will seek to develop an entirely new set of electrodes that unify the two fields of molecular catalysts and metallic electrodes to perform novel CO2/CO electrochemical reactions. Target products include primarily ethanol and methanol while there is a wide range of possibilities for the metal electrodes and molecular compounds. The researcher will learn to utilize both H-cell and flow-cell electrochemical systems. Technical skills such as hands-on electrochemical experience, working with metallic molecular complexes, hands-on coordination chemistry experience, working with analytical instrumentation, chemical synthesis of molecular compounds are all valuable. A preprint illustrating one approach for the research project is here: https://www.researchsquare.com/article/rs-2986898/v1 The successful candidate is expected to publish first-authored papers that advance state-of-the-art fundamental and applied knowledge in the research field. Further the candidate will present their work at national and international conferences while building their own personal career pathway in consultation with the group principal investigator Thomas Burdyny. More information about the research group can be found on the www.burdynyenergylab.com 

Deadline : 10 December 2023 

(38) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Aging Solar Sails for Space Debris Removal

The “streets in space” are lined with garbage. Operational satellites that are vital to our everyday lives share their orbits with thousands of pieces of debris. An impact from such a debris object may destroy a satellite, or worse, threaten human spaceflight. At TU Delft, research is being conducted on exploiting the endless propulsion capabilities of solar sailing to clean up space. A spacecraft equipped with a solar sail rides on sunlight the way sailboats ride on the wind, making it a sustainable and cost-effective form of propulsion for a many-target active debris removal mission. Though several solar-sail technology demonstration missions have successfully flown, and more are scheduled for the future, little is known about the effect of the harsh space environment on the optical and mechanical degradation and survivability of the sail material. Particularly for long duration missions, like a many-target active debris removal mission, degradation is expected to be significant and have an equally significant effect on the long-term performance of the sail. Objective: the objective of this PhD project is to obtain realistic aging effects of solar-sail material through an extensive ground-based test campaign and to incorporate the derived effects into the orbital dynamics of a solar-sail active debris removal mission.

Deadline : 10 December 2023

(39) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Effect of Manufacturing Defects in Composites

Fibre reinforced polymer composite components inevitably contain manufacturing defects. Currently this is dealt with by imposing safety factors on the design, and by establishing conservative acceptable defect sizes, which do not take into account the stress distriubtion within the component. Instead it would be desirable to predict the effect of a defect on the strength and durability of the component, to enable a more precise evaluation of the defect’s severity. Within this PhD project you will conduct research with the aim of better understanding the effect of manufacturing defects, particularly those produced by automated fibre placement (AFP). The work will consist of a mixture of experiments and (likely numerical) modelling. You will conduct this research within the Aerospace Structures and Materials Department of the Faculty of Aerospace Engineering of TU Delft. Direct supervision will be provided by Dr. ir. J.A. Pascoe and Dr.ir. D.M.J.Peeters. Dr. ir. R.C. Alderliesten will act as promotor.

(40) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Graph Machine Learning for Financial Crime Analysis

Graph machine learning (Graph ML) is an emerging field of artificial intelligence (AI) motivated by the ubiquity of graph-structured data in real-world applications. Graph neural networks (GNNs) serve as a key technology in this area and are successfully used in recommendation systems, financial crime analysis, cybersecurity, and social and biological network analysis. However, existing GNN architectures are limited in the type and complexity of subgraph patterns they can detect in practice. For example, cycles, cliques, and frequent motifs can serve as highly discriminative signatures when analysing financial, biological, and social networks. However, cost-efficient discovery of such subgraph patterns using GNNs is challenging. Although these patterns can be recognized using purely combinatorial approaches, such approaches lack statistical learning and adaptation capabilities and also have high computational complexity.

(41) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Grounding Large Language Models in the Real World

We seek a highly motivated and talented PhD researcher to work on an exciting project focused on hybrid memory modelling. The research will take into account both visual observations by the robot and conversations between robots and people. In this project, the successful candidate will build a  conversational robot that aligns their memories through natural language conversation to 1) detect conflicts, gaps, perspectives and uncertainties and 2) repair these. The candidate will be part of the Hybrid Intelligence Center and the Interactive Intelligence Group at TU Delft. You also work in close collaboration with researchers at the Vrije Universiteit Amsterdam. The ideal candidate will have a background in computer science, artificial intelligence, or a related field, and a strong interest in human-computer interaction. Experience in machine learning, natural language processing, and deep learning is also a plus.

Deadline : December 10, 2023.

(42) PhD Degree – Fully Funded

PhD position summary/title: PhD Positions Internet Measurement and Systems for Cybersecurity

The Cybersecurity (CYS) group at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) invites applications for full-time doctoral candidates in Internet Measurement and Systems for Cybersecurity. Successful candidates will follow a data-driven approach by collecting and analyzing massive network and web data to improve security and privacy on the Internet and of networked systems. Examples include fighting cyber threats (e.g., ransomware, phishing, denial of service attacks, scanning for system vulnerabilities), identifying and mitigating network and Web vulnerabilities (e.g., unauthorized access, user tracking), and assessing the adoption of user data protection regulations (e.g., GDPR) in the wild. Successful candidates will have the opportunity to work closely with world-class researchers at TU Delft and our research collaborators in Europe and the US. Our group conducts research in a range of cybersecurity topics, including, secure data analytics, applied cryptography, privacy, cloud security, system security, and network security. We aim to make the world a safer place as most of our activity and data move online. We design, develop, and evaluate interdisciplinary solutions that combine all fields of computer sciences: artificial intelligence, systems, and theory. Examples include the development of deep learning methods that are immune to common side-channel defences, machine learning algorithms that can operate on encrypted data in the cloud, detection and mitigation of large scale distributed denial of service attacks, and analysis of the latest security threats. We aim to publish our results at top conferences and journals, transfer our scientific know-how and technologies to students and our public and private partners in the field of cybersecurity, and have impact in society and the research community.     

(43) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Methodologies for Analysis Testing and Certification of Thermoplastic Composite Aerostructures

Aerospace structures made of thermoplastic composite materials have various advantages compared to thermoset composites including the possibility of joining them by welding, which enables a more efficient production of aircrafts. These composites have also higher fracture energy, better impact resistance and are generally easier to recycle. Nonetheless, the structural performance of thermoplastic composite structures is less well characterized compared to thermoset structures, particularly on welded parts as found on the fuselage, wings or empennage of composite aircrafts. The aim of this PhD project is to develop and implement numerical and experimental techniques to characterize the performance of welded thermoplastic composite structures. The project involves establishing the limits of these structures (by fracture and/or buckling) based on Finite Element simulations of damage onset and damage propagation, taking the welding into account. The work involves verification and validation steps with experimental work on welded panel components, in collaboration with industrial partners. The goal is to investigate the effect of material variability and possible manufacturing defects on the overall strength and fatigue limits of thermoplastic welded structures. In turn, these data will be used for quantification of uncertainty and linked to a path towards certification by analysis.

Deadline : December 8, 2023

(44) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Researcher Fatigue of Cold Spray Repairs

Cold spray is an additive manufacturing technology that can be a real game changer for MRO of civil aircraft. However, its wide-spread application is hindered by a lack of understanding of the fatigue and damage tolerance properties of cold spray repairs. In this position you will help change this situation, by developing and validating a prediction methodology consisting of fatigue tests on generic coupons (to be developed by you) and analytical or numerical modelling. This project will have an experimental focus, including manufacturing your own specimens using our medium pressure cold spray system. This will be combined with analytical and/or numerical modelling, depending on which approach proves to be more feasible. You will conduct this research within the Aerospace Structures and Materials Department of the Faculty of Aerospace Engineering of TU Delft. Direct supervision will be provided by Dr. ir. J.A. Pascoe and Dr. C.D. Rans. Dr. ir. R.C. Alderliesten will act as promotor. As part of the project you will be expected to conduct a 3 month research visit at Swinburne University of Technology in Melbourne, Australia. Funding to perform this visit will be provided.

Deadline : December 8, 2023  

About Delft University of Technology (TU Delft), Netherlands  – Official Website

Delft University of Technology, also known as TU Delft, is the oldest and largest Dutch public technical university. Located in Delft, Netherlands, it is consistently ranked as one of the best universities in the Netherlands, and as of 2020 it is ranked by QS World University Rankings among the top 15 engineering and technology universities in the world.

With eight faculties and numerous research institutes, it has more than 26,000 students (undergraduate and postgraduate) and 6,000 employees (teaching, research, support and management staff).

The university was established on 8 January 1842 by William II of the Netherlands as a Royal Academy, with the primary purpose of training civil servants for work in the Dutch East Indies. The school expanded its research and education curriculum over time, becoming a polytechnic school in 1864 and an institute of technology (making it a full-fledged university) in 1905. It changed its name to Delft University of Technology in 1986.

Dutch Nobel laureates Jacobus Henricus van ‘t Hoff, Heike Kamerlingh Onnes, and Simon van der Meer have been associated with TU Delft. TU Delft is a member of several university federations, including the IDEA League, CESAER, UNITECH International and 4TU.

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Jannis Langer wins Best ESS PhD Paper Award 2023

Every year, the ESS department selects its best PhD Paper. Jannis Langer is the winner of this award for 2023, with his paper “ Geospatial analysis of Indonesia’s bankable utility-scale solar PV potential using elements of project finance .”

A jury assesses the nominated papers on five criteria (degree of innovation, scientific importance, practical importance, quality of design and methods, and significance of the findings). The jury unanimously selected Jannis’s paper as the best of all the nominated papers. They praised the author for developing an innovative method of solar resource assessment, giving significant new insight into PV potential in Indonesia. The jury also stated that this method could be replicated elsewhere, making it even more important scientifically.

Winning this award on May 27th was followed by a Cum Laude at his PhD defense on June 6th! So, a double congratulations to Jannis!

Paper abstract:

Geospatial analysis is useful for mapping the potential of renewables like solar PV. However, recent studies do not address PV’s bankable potential for which project financing can be secured. This paper proposes a framework that incorporates project finance into geospatial analyses to obtain the bankable potential of renewables. We demonstrate our framework for Indonesia, and compare the bankable potential with the socio-economic potential mostly used in literature.

Jannis Langer

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June 20, 2024

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Drone racing prepares neural-network AI for space

by European Space Agency

Drones are being raced against the clock at Delft University of Technology's "Cyber Zoo" to test the performance of neural-network-based AI control systems planned for next-generation space missions.

The research—undertaken by ESA's Advanced Concepts Team together with the Micro Air Vehicle Laboratory, MAVLab, of TUDelft—is detailed in the latest issue of Science Robotics .

"Through a long-term collaboration, we've been looking into the use of trainable neural networks for the autonomous oversight of all kinds of demanding spacecraft maneuvers, such as interplanetary transfers, surface landings and dockings," notes Dario Izzo, scientific coordinator of ESA's ACT.

"In space every onboard resource must be utilized as efficiently as possible—including propellant, available energy, computing resources, and often time. Such a neural network approach could enable optimal onboard operations, boosting mission autonomy and robustness. But we needed a way to test it in the real world, ahead of planning actual space missions.

"That's when we settled on drone racing as the ideal gym environment to test end-to-end neural architectures on real robotic platforms, to increase confidence in their future use in space."

Drones have been competing to achieve the best time through a set course within the Cyber Zoo at TU Delft, a 10x10 m test area maintained by the University's Faculty of Aerospace Engineering, ESA's partner in this research. Human-steered "Micro Air Vehicle" quadcopters were alternated with autonomous counterparts with neural networks trained in various ways.

"The traditional way that spacecraft maneuvers work is that they are planned in detail on the ground then uploaded to the spacecraft to be carried out," explains ACT Young Graduate Trainee Sebastien Origer. "Essentially, when it comes to mission Guidance and Control, the Guidance part occurs on the ground, while the Control part is undertaken by the spacecraft."

The space environment is inherently unpredictable, however, with the potential for all kinds of unforeseen factors and noise, such as gravitational variations, atmospheric turbulence or planetary bodies that turn out to be shaped differently from on-ground modeling.

Whenever the spacecraft deviates from its planned path for whatever reason, its control system works to return it to the set profile. The problem is that such an approach can be quite costly in resource terms, requiring a whole set of brute force corrections.

Sebastien adds, "Our alternative end-to-end Guidance & Control Networks, G&C Nets, approach involves all the work taking place on the spacecraft. Instead of sticking a single set course, the spacecraft continuously replans its optimal trajectory, starting from the current position it finds itself at, which proves to be much more efficient."

In computer simulations , neural nets composed of interlinked neurons—mimicking the setup of animal brains—performed well when trained using "behavioral cloning," based on prolonged exposure to expert examples. But then came the question of how to build trust in this approach in the real world. At this point, the researchers turned to drones.

"There's quite a lot of synergies between drones and spacecraft, although the dynamics involved in flying drones are much faster and noisier," comments Dario.

"When it comes to racing, obviously the main scarce resource is time, but we can use that as a substitute for other variables that a space mission might have to prioritize, such as propellant mass.

"Satellite CPUs are quite constrained, but our G&CNETs are surprisingly modest, perhaps storing up to 30 000 parameters in memory, which can be done using only a few hundred kilobytes, involving less than 360 neurons in all."

In order to be optimal, the G&CNet should be able to send commands directly to the actuators. For a spacecraft, these are the thrusters and, in the case of drones, their propellers.

"The main challenge that we tackled for bringing G&CNets to drones is the reality gap between the actuators in simulation and in reality," says Christophe De Wagter, principal investigator at TU Delft.

"We deal with this by identifying the reality gap while flying and teaching the neural network to deal with it. For example, if the propellers give less thrust than expected, the drone can notice this via its accelerometers. The neural network will then regenerate the commands to follow the new optimal path."

"There's a whole academic community of drone racing, and it all comes down to winning races," says Sebastien. "For our G&CNets approach, the use of drones represents a way to build trust, develop a solid theoretical framework and establish safety bounds, ahead of planning an actual space mission demonstrator."

Journal information: Science Robotics

Provided by European Space Agency

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