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) 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 Femtosecond photoacoustic imaging through engineered acoustic metamaterials

Summary of Doctoral Project:

Photoacoustic imaging (PAI) is an emerging biomedical imaging modality for probing the optical properties of tissues at deep penetration depths. PAI leverages the photoacoustic effect wherein non-ionizing laser pulses targeted at soft tissues cause localized heating leading to thermal expansion and eventually wideband ultrasonic acoustic emissions. Acoustic Metamaterials (literally meaning – “beyond materials”) are architected materials with carefully engineered microstructures to exhibit material and acoustic properties that are either tunable or exotic (oftentimes not found in nature). Supported by advances in additive manufacturing, the miniaturization of structures to material length scales enables wave manipulations such as acoustic wave guiding, tunable acoustic bandgaps, negative acoustic refractive indices, acoustic cloaking, acoustic superlensing, and many more. In this project, these two scientific fields are combined to overcome sensitivity challenges in photoacoustic signals detection. By designing acoustic metamaterials to be used as intermediate medium between tissue and transducer, high frequency photoacoustic signals could potentially be detected and even amplified.

Last Application Date: September 1, 2022

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2. PhD position ERC ViSioN: Virus Spread in Networks

Summary of Doctoral Project:

The project “Virus Spread in Networks” (ViSioN) is funded by ERC as an Advanced Grant 2020. ViSioN starts from a Network Science view on virus spread in networks in which the duality between the virus transmission process and the contact graph is key. The devastating Corona crisis reveals two major shortcomings in traditional epidemiology. First, it ignores the human contact graph and implicitly assumes a homogeneous population without specific graph structure. Second, most models for the virus spreading process relate to a Markovian setting, with exponential infection and curing times, leading to an exponential decay of the epidemic. Measurements, however, point to significantly different infection and curing time distributions. In addition, digital technology can help in constructing the contact graph and combined with medical testing, all infected can be detected. ViSioN aims to develop the theory of non-Markovian epidemic process on networks, a surprisingly missing element today, because non-Markovian theory is needed to tell, based on the characteristic infection and curing times of the virus, how long a pandemic will last and when the peak occurs. Next, ViSioN will combine all available measurement technologies to construct the best possible contact graph via temporal networking or adaptive networking.

Last Application Date: August 31, 2022

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3. PhD position Distributed Optimization in Cyber-Physical Networks

Summary of Doctoral Project:

This position aims at improving our understanding and control of cyber-physical systems composed of a large number of interconnected and embedded components. Such networks of systems contain a huge number of sensors and actuators that generate a tremendous amount of data to be processed in real-time in order to increase the autonomy of the participating entities, or accomplish a high level of automation. We are looking for a talented, motivated and outstanding Ph.D. candidate with enthusiasm for fundamental research challenges at the interface of Systems and Control Theory, Optimization, and Operations Research in order to develop new theories, methodologies, algorithms, and numerical tools to optimize over such complex networked systems.

Last Application Date: 31 August 2022

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4. PhD in Urban Heat and Inequalities

Summary of Doctoral Project:

Erasmus MC, TU Delft and Erasmus University Rotterdam have joined forces in the Pandemic and Disaster Preparedness Center (PDPC). PDPC aims to prepare society for future pandemics and disasters. We will reduce vulnerabilities and risks and build resilience through effective disaster prevention, preparedness and recovery measures. Convergence of the technical, medical and social sciences is essential for developing the next generation of approaches to disasters and pandemics. In the foreseeable future, our society can expect many more and unforeseen virus outbreaks and extreme events because of climate change. But how do we protect society from the next pandemic or disaster? Which of the lessons learnt could develop prevention and intervention measures, and how could research contribute to preparedness? The PDPC Frontrunner project “Towards social and urban resilience for pandemics and disasters (SURE)” focusses on urban heat and Covid-19, associated processes of mis- and dis-information related to climate change and pandemics, and questions related to local public infrastructure to increase agency and to improve resilience of urban residents and populations.

Last Application Date: August 31, 2022

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5. PhD Automotive Radar

Summary of Doctoral Project:

We have the ambition to design and validate innovative methods to image environment around a car using radars. Radar images are intrinsically different from lidar or optical images due to lower resolutions. Increase of the image resoltuion could be achieved via fusion of the data coming from multiple radar sensors. Such fusion is associated with a number of research questions like radar units synchronization, combination of mono-static and bi-static imaging modalities as well as resolving mutual interference issue. You will work in the joint project between NXP and TUD DIRAc(Distributed High-Resolution Automotive Radar for Autonomous and Secure Mobility ). You will investigate automotive radar networks and develop innovative signal processing and imaging algorithms.

Last Application Date: August, 31, 2022

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6. PhD position in applied cryptography

Summary of Doctoral Project:

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. 

Last Application Date: September 1, 2022

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7. Doctoral Position

Summary of Doctoral Project:

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).

Last Application Date: September 1, 2022

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8. PhD on development of new disordered electrode materials for batteries

Summary of Doctoral Project:

We will be investigating a new class of materials featuring atomic-scale disorder between mobile light metal ions (A e.g. Li+, Na+) and transition metals (M; e.g. Co, Fe). This is a new concept, in stark contrast to conventional electrode materials in which A and M are perfectly segregated in alternating atomic layers. The disordered materials have already shown great promise for increased performance (higher capacity, higher rate capability, slower aging) that could translate directly to lighter, faster-charging, longer-lasting next-generation batteries, respectively. Beyond performance, the disordered concept allows for more flexibility on the choice of transition metal(s) used which directly affects the economic potential and societal impact in view of battery mass-production. Current state-of-the-art lithium-ion technology heavily relies on cobalt and nickel. These are both rather rare, costly-to-produce (and in the case of cobalt, ethically unacceptable, see e.g. link) metals which go directly against the principles of sustainability, environmental protection and the green energy transition.

Last Application Date: September 1st, 2022

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9. PhD position on mass transport modelling from GRACE/GRACE-FO data

Summary of Doctoral Project:

The continued observation of the temporal changes of the Earth’s gravity field is essential for understanding mass transport, caused by processes in the oceans and atmosphere, by melting ice caps and glaciers, by large-scale ground water use, among others. Mass transport is an essential climate variable, and its monitoring is required for understanding climate change. It is also crucial for monitoring hydrological processes at global and regional scales, thereby providing information for water security relevant for agriculture and drink water supply of billions of people worldwide. Space-borne gravimetry, notably in the form of the Gravity Recovery And Climate Experiment (GRACE), GRACE Follow-On missions, has provided observations covering two decades, but their full information content remains underutilized. Without fully exploiting the spatial and temporal resolution of gravimetric data, the ability to separate the underlying geophysical processes is not possible, crippling our understanding of the effects of climate change.

Last Application Date: September 5th, 2022

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10. PhD: Fair access and benefit sharing of genetic biodiversity

Summary of Doctoral Project:

We are looking for a PhD candidate for a project on the fair sharing of access to and benefits from the use of digital genetic resources. Biodiversity is valuable in and of itself but also as a source of genetic wealth that can provide input for innovative and sustainable biotechnologies. However this genetic wealth has become the object of a long lasting global dispute on how to fairly distribute access and benefits (ABS) relating to genetic resources. The increasing use of Digital Sequence Information (DSI) has intensified this conflict, caused by a clash between values such as Open Science and economic justice.

Last Application Date: 11-09-2022

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

Summary of Doctoral Project:

As PhD researcher in this project, you will focus on investigating the potential of vessel to vessel (v2v) and vessel to infrastructure (v2i) interactions in view of addressing these challenges at an operational level. You will have the opportunity to investigate smart operational control strategies for collaborative autonomous shipping, integrating navigation rules, information exchange and algorithms for dealing with the uncertainties. Here, concepts such as (distributed) model predictive control are in particular pursued as the central concept to advance the state of the art in performance of multi-vessel systems and surrounding logistics. This PhD position will contribute to the fundamental research, while assessing the potential of investigated methods using high-fidelity simulations and experimental validation with the autonomous vessel fleet of the Researchlab of Autonomous Shipping (RAS) at TU Delft. The research will be carried out in close cooperation with academic and industrial partners of several large European research projects (such as NOVIMOVE, AVATAR, and AutoBarge).

Last Application Date: September 15, 2022

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12. PhD: 3D Unsteady CFD model for Multi-Rotor Multi-Body Fluid Structure Interaction

Summary of Doctoral Project:

The main objective behind this project is to develop a 3D Hybrid solver implemented in OpenFOAM purposed for lift-driven aerodynamics such as in wind energy and aircraft. More specifically, this PhD project focuses on the addition of fluid-structure interaction capability by introducing a combination of domain deformation and partitioned fluid-structure coupling methods. In a region close to solid boundaries the flow, the full Navier-Stokes equations are solved on a deforming (meshed) domain and coupled to a structure dynamics model (possibly with an arbitrary turbulence model or DNS, the limitations being the computational power and the physical properties of the flow); outside of that region, the flow is solved with a Lagrangian (meshless) vortex particle method. In this hybrid approach, the complexity and size of the deforming mesh problem is substantially reduced as it is only required for a small domain close to the body. Also, interaction between different bodies moving in each other’s vicinity is facilitated through the Lagrangian (meshless) vortex particle.

Last Application Date: 15-9-2022

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13. PhD Positions in Data-driven Cybersecurity

Summary of Doctoral Project:

The Cybersecurity (CYS) group at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) invites applications for full-time doctoral candidates in the area of Data-driven Cybersecurity. Successful candidates will follow a data-driven approach by collecting and analyzing massive network and web data to improve security and privacy in the Internet. 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.

Last Application Date: September 15, 2022

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14. PhD position on the intersection of combinatorial optimisation and machine learning to support the energy transition

Summary of Doctoral Project:

The main objective for this PhD student is to develop novel techniques in the intersection of machine learning and optimization to find the right level of modelling detail, balancing accuracy and computability. This PhD position is part of a larger research project – Next Generation Sector Coupling Models for Optimal Investments and Operation (NextGenOpt) – which is funded by the Dutch Research Council (NWO) within the Energy System Integration, Towards Futureproof, Affordable and Reliable Energy Systems (ESI-FAR) call. Accordingly, the candidate will be embedded in an interdisciplinary team consisting of engineers, computer scientists, and mathematicians from TNO, Utrecht University, TU Delft, and industry partners. The candidate will closely cooperate with the other project team members and spend part of the research time at TNO (flexible stay).

Last Application Date: September 19, 2022

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15. PhD Team Science and Innovation for Responsible Human-Centric AI

Summary of Doctoral Project:

This PhD position focuses on the evolution of HCAI teams/networks from an anthropo-technical perspective. The candidate will be studying the forms and dynamics of collaborations between these teams/networks both in R&D and Production & Deployment of HCAI (AI components, AI systems, AI ecosystems). They will also investigate the influencing factors -internal and external– to achieve responsible AI as a culture and as a practice beyond ethical compliance. Internal factors may include team/network composition (e.g., diversity, size, structure) as well as the form of collaboration (e.g., type, timing, symmetry). External factors look at the environment where teams/networks form and collaborate, e.g., institutions, economic and political factors, etc.

Last Application Date: 23 September 2022

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16. PHD Position Design and build disrupting technology for high-resolution microscopy with monochromatic electrons

Summary of Doctoral Project:

Electron microscopes are essential systems for ultra-high-resolution imaging and analysis of materials in science and industry. For many imaging and analysis techniques however, the intrinsic energy spread of the emitted electrons from a high brightness electron source (typically 0.4 – 1 eV) is too large and would need to be reduced to 10 meV range. Electron monochromators exist but are technically complicated and are thus only implemented in very expensive high-end systems. In this project, you will work on a radically new monochromator concept to reduce electron energy spread making use of microfabrication technology. You will design and fabricate the monochromator componentsF together with our microfabrication specialists and you will perform the experimental characterizations. Successful device will be implemented in the state-of-the-art electron microscopes and applications towards extremely low voltage SEM and high-resolution energy loss spectroscopy will be investigated. Ultimately, this work should pave the way for a very powerful but still low-cost electron microscopy component that can fundamentally change the field of electron microscopy.

Last Application Date: 16 October 2022

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17. PhD Position Software Restructuring

Summary of Doctoral Project:

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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18. PhD Radiochemistry

Summary of Doctoral Project:

Our innovative approach is to develop a nanomaterial-based Mo-99/Tc-99m radionuclide generator, which will enable local Mo-99 production by overcoming the inherent capacity problems of the current generator material. In this project, you will combine concepts from different fields including nanotechnology (synthesizing molybdenum-based nanomaterials) and radiochemistry (radiochemical separation to selectively extract Tc-99m) to create the new generator, demonstrate production site versatility in both research reactors and accelerators, and assess whether the produced Tc-99m conforms to the European pharmacopeia standards for use in the clinic. The research will be highly multidisciplinary, including all aspects of designing, synthesizing, characterizing, and fabricating the novel radionuclide generator in close collaboration with industry leaders and university hospitals.

Last Application Date: Open Until Filled

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19. PhD in Aircraft Maintenance Simulator and Strategy Optimisation

Summary of Doctoral Project:

This PhD project will focus on the development of a Maintenance Repair and Overhaul (MRO) simulator that can evaluate various maintenance concepts on a strategic level in terms of aspects such as fleet availability, costs, reliability, and network value. The simulator should enable the analysis and design of the most optimal maintenance schedule within the airline’s network. The core element of the simulator will be an optimisation model that plans the maintenance events in the coming months, taking into account the network flight requests, maintenance resource availability, aircraft health condition, and airworthiness requirements. The position is intended as a full-time appointment, and the work will take place at the TU Delft and at KLM E&M. The work will be conducted as part of a large national project involving several other partners. Thus, the work will be fuelled with real applications and a commercial decision-support tool is expected from this PhD project. As part of the work, the researcher will have to collaborate with several partners and support project administration.

Last Application Date: August 15th 2022

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20. PhD : Microalgae-based light-responsive engineered living materials

Summary of Doctoral Project:

Nature fabricates materials with remarkable properties, having the ability to grow, move and sense their environment. Such dynamic and interactive materials are in strong contrast with man-made synthetic materials. Recent scientific interest has emerged to incorporate living cells into materials to form engineered living materials. While still underexplored, microalgae-based living materials are highly promising due to the light-responsiveness and photosynthetic activity of microalgae. The aim of this project is to fabricate a light-responsive microalgae-based materials that use the photosynthetic activity of cells to control the response of the material as a whole. The PhD student will devise fabrication approaches for porous hydrogel actuators, which can host microalgae cells. He/she will study how the material properties are locally affected by the presence and response of living cells.   

Last Application Date: 15th of August 2022

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

Summary of Doctoral Project:

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: 20 August 2022

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22. PhD position on Developing hematopoietic stem cell cultivation in a bioreactor

Summary of Doctoral Project:

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: 21 August 2022

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23. PhD position in Explainable Combinatorial Optimisation

Summary of Doctoral Project:

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 why 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: August 21, 2022

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24. PhD Position in Experimental Soil Mechanics

Summary of Doctoral Project:

Organic soils are extremely vulnerable to climate change as increased temperatures accelerate drying, shrinkage and decomposition of the organic matter. Gases such as CH4 and CO2 produced by the decomposition of the organic matter saturate the pore fluid and can eventually be exsolved as bubbles by temperature increase, atmospheric pressure decrease, and unloading. Gas bubbles in soils can compromise the performance and safety of structures and infrastructure with irreversible deformations and reduction of resistance. Research on the effects of gas bubbles on the response of organic soils is still at an early stage and a comprehensive geotechnical model for the effects of gas in organic soils is still lagging behind. The project aims at deepening the understanding and modelling of the hydro-mechanical behaviour of organic soils containing gas bubbles to mitigate the impact of climate-related hazards in natural organic soils.

Last Application Date: August 22nd 2022

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25. PhD Airborne transmision and ventilation

Summary of Doctoral Project:

One of the front runner projects in the PDPC is about predicting, measuring and quantifying airborne virus transmission, because the ability to spread via the air is a key determinant of pandemic potential of zoonotic respiratory virus infections. Quantification of infectious viruses in air and assessing their transmission potential via small or large respiratory droplets is crucial for risk assessments of zoonotic and pandemic outbreaks but is notoriously difficult to perform. The aim of this frontrunner project is to develop methods to predict and quantify the airborne transmission potential of viruses, based on model studies, experiments and outbreak research, that may lead to novel and improved mitigation strategies. This interdisciplinary project brings together scientists from the fields of medicine, virology, epidemiology, public health, exposure science, engineering, physics and electronics in 4 interconnected work packages.

Last Application Date: August 22, 2022

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26. PhD Geophysical Subsurface Railway Embankment and Soil Monitoring

Summary of Doctoral Project:

This project aims at developing an effective monitoring approach, quantifying and visualizing geophysical soil properties, mapping geophysical soil properties to geotechnical parameters, and identifying problematic places along railway tracks. This involves 3D modelling of seismic surface waves and GPR data, developing seismic-interferometry processing to obtain dispersion curves for SWT, joint GPR-SWT inversion to estimate subsurface parameters, and collaboration with other PhD projects to develop a geophysical-to-geotechnical parameter conversion model. For this aim, the project will build upon and develop new GPR and DAS monitoring techniques, methods to estimate layer thickness, P-wave and S-wave velocities, water content, and possibly density, from the collected data. To compute geotechnical parameters from the geophysical parameters, the project will develop an operational method calibrated by CPT-data. The newly developed advanced processing methods should enable identifying problematic places. A field trial or demonstration of the geophysical monitoring technique forms an important part of the project. The project will be conducted in close collaboration with almost all other PhD projects and with all partners in RESET.

Last Application Date: 28 August 2022

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27. PhD position in Mixed-Signal IC Design for Battery-Free Wearables

Summary of Doctoral Project:

This PhD project will focus on a near-infrared spectroscopy (NIRS) system for cerebral hemodynamics monitoring, which is fully powered by multi-source energy harvesting strategies for autonomous operation. The PhD candidate will investigate innovative solutions in (1) the analogue front-end architecture for learning-based compressed sensing and (2) the power management unit for multi-source energy harvesting, to push the state-of-the-art in wearable systems for continuous monitoring of feature-rich vitals. The candidate will be embedded in the research groups of Dr. Dante Muratore and Dr. Sijun Du and will have close collaborations with current PhD students in both groups.

Last Application Date: August 31, 2022

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28. PhD position in Microfabrication of Piezoelectric Ultrasound Transducers

Summary of Doctoral Project:

Focused ultrasound (FUS) brain stimulation is an emerging minimally invasive brain interface that combines high spatial resolution with high depth of penetration. Even though FUS has been shown great promise for the treatment of a vast range of neurological diseases, existing FUS stimulators are still bulky, power inefficient and with limited volumetric spatial resolution. This limits its applications to acute procedures, where test subjects are immobilized, and FUS helmet-like devices are controlled by robotic arms in a highly complex setup. In this fully funded PhD project (UPSIDE EU grant – EIC Pathfinder Challenges), you will investigate lossless microfabrication methods to integrated 2D arrays of piezoelectric ultrasound transducers in CMOS technology. This work will be developed both in the TU Delft cleanroom facilities and in the Biosonic laboratory. You will be embedded in the research group of Dr. Tiago Costa and will have close collaboration with colleagues from the section Bioelectronics and the department Microelectronics.

Last Application Date: August 31, 2022

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29. PhD position in DC/ DC Power Conversion Integrated Circuits and Systems

Summary of Doctoral Project:

In this project, we are going to design energy-efficient and highly integrated DC/DC converters to provide stable and reliable power for electronic loads. We will investigate hybrid topologies and inductor-sharing techniques to reduce inductor requirement, and switched-capacitor DC/DC topologies to achieve fully integrated designs. We are looking for a Ph.D. candidate with a background in analogue integrated circuit design. The candidate should be a self-motivated researcher with excellent learning, analytical, problem-solving and communication skills. The candidate will be doing the PhD project in Dr. Sijun Du’s research group in the section Electronic Instrumentation of the Microelectronics department. The closing date of this vacancy is 31 August 2022. But candidates will be evaluated on an ongoing basis, and the position will be closed once a suitable candidate is found. Interested candidates are encouraged to apply early.

Last Application Date: Augus 31, 2022

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30. PhD position in Analog/Mixed-Signal IC Design

Summary of Doctoral Project:

Focused ultrasound (FUS) brain stimulation is an emerging minimally invasive brain interface that combines high spatial resolution with high depth of penetration. Even though FUS has been shown great promise for the treatment of a vast range of neurological diseases, existing FUS stimulators are still bulky, power inefficient and with limited volumetric spatial resolution. This limits its applications to acute procedures, where test subjects are immobilized, and FUS helmet-like devices are controlled by robotic arms in a highly complex setup. In this fully funded PhD project (UPSIDE EU grant – EIC Pathfinder Challenges), you will investigate power-efficient circuits and architectures to miniaturize the FUS apparatus into a single battery-powered IC capable of focusing and steering FUS waves in the three-dimensional space with high volumetric spatial resolution. You will be embedded in the research group of Dr. Tiago Costa and will have close collaboration with colleagues from the section Bioelectronics and the department Microelectronics.

Last Application Date: August 31, 2022

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31. PhD position in Analog/ Mixed-Signal IC Design

Summary of Doctoral Project:

In this PhD project you will investigate power-efficient circuits and architectures to miniaturize the recording electronics into a single battery-powered IC with >1000 independent channels. You will be embedded in the research group of Dr. Dante Muratore and will have close collaboration with other colleagues from the section Bioelectronics and the department Microelectronics. Your work will allow our industrial and academic collaborators in neurobiology to identify depression biomarkers in neural signals and enable closed-loop neuromodulation in treatment-resistant depression. This can lead to minimally invasive and effective treatment for depression.

Last Application Date: August 31, 2022

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32. PhD position on Data-driven quantification of heating/cooling demand flexibility to support electricity and thermal distribution systems

Summary of Doctoral Project:

The selected candidate will work on developing data-driven quantification models of energy flexibility from heating and cooling demand from different types of energy users (e.g., residential, smart buildings), aiming to support the planning and operation of the electricity and thermal distribution networks. These models will be a fundamental part of a more general stochastic framework that will guide system operators to decide on short- and long-term electricity and thermal investments decisions. To do this, the candidate is expected to combine data-driven and agent-based modeling to develop optimization models that can solve congestion problems at the electricity and thermal distribution level but also take into account user engagement to provide flexibility on the consumption side via demand response programs.

Last Application Date: August 11, 2022

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33. PhD position on Data-driven agent-based modeling to optimize electricity and thermal distribution networks joint operation and investments

Summary of Doctoral Project:

This is a four-year doctoral position. You will be jointly supervised by Dr. Pedro P. Vergara (assistant professor) and Prof. Peter Palensky (chair). You will be a member of the section Intelligent Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will offer opportunities to collaborate with industrial partners but also with academics from other disciplines, as required (mathematics, operations research). Within the team, we strive to develop methods that are mathematically rigorous and have near-term application potential. We are strong supporters of open science (publishing, source code, data). You will also be expected to assist in teaching activities (student supervision, labs) related to your subject area.

Last Application Date: August 11, 2022

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34. PhD Positions in Signal Processing and Machine Learning for Multimodal Molecular Imaging

Summary of Doctoral Project:

The Van de Plas lab is offering PhD positions in signal processing and machine learning for multimodal imaging, to build 3-D molecular atlases of human tissue. The positions have a special focus on spectral imaging modalities such as imaging mass spectrometry and multiplexed immunofluorescence microscopy, as well as on exceptionally large and high-dimensional data. Our lab is located at the Delft University of Technology (TU Delft) in the Netherlands and is part of the Delft Center for Systems and Control. Our research lies at the interface between (i) mathematical engineering and machine learning; (ii) analytical chemistry and instrumentation; and (iii) life sciences and medicine. We explore new ways of acquiring, processing, and mining the massive (multi-terabyte) datasets that imaging mass spectrometry and other molecular imaging modalities commonly deliver.

Last Application Date: Open Until Filled

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35. PhD position: Vulnerability scanning, incident response and security benchmarking

Summary of Doctoral Project:

We are in an age of regular news stories about vulnerabilities in enterprise IT being exploited, for theft of customer data, ransomware and other nefarious purposes. The impact of these attacks seem to be rising, yet organisations are still struggling to keep their systems patched. The reality is that organisations face a painful dilemma: patch fast and comprehensively and incur downtime and potential failures; or patch slow and selectively and risk getting compromised by attacks. As a result, organisations take a long time to patch even critical security vulnerabilities. The way to get out of this catch-22 is to radically change the risk governance of patching. That is the objective of the NWO-funded THESEUS project. In this project, we work with closely with academic institutions, like VU Amsterdam, Utrecht and Tilburg Univertisies; and real-world partner organisations, such as KLM-AirFrance, Rijkswaterstaat, City of Amsterdam, City of The Hague, KPN, CyberSprint, and the National Cyber Security Center. We engage with researchers and professionals to explore questions of vulnerability scanning, automatic vulnerability and patch triaging, risk profiling and benchmarking organisations with respect to their security posture and patch status.

Last Application Date: August 14, 2022

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36. PhD position Signal Processing for Nonlinear Waves

Summary of Doctoral Project:

We are looking for a PhD student with a background in an engineering discipline, physics or mathematics to work in the area of signal processing for data governed by nonlinear wave equations. The position can be focused either on the development of novel methods, or on the exploration of new applications. The candidate should have a relevant background such as, for example, numerical methods, signal processing, machine learning, or an application field related to nonlinear waves. The current methodological focus in our group is on a) spectral data analysis approaches for nonlinear systems such as nonlinear Fourier analysis and Koopman operator methods, and b) machine learning approaches. We are interested both in the development of new methods and in the exploration of new applications, currently in the areas of optical communications and coastal and ocean engineering.

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37. PhD Position Efficacy of Sediment Nourishments in Groyne Fields of Engineered Rivers

Summary of Doctoral Project:

Rijkswaterstaat, the executive agency of the Ministry of Infrastructure and Water Management, will conduct a field experiment with sediment nourishments in a few groyne fields of the Waal River (Rhine River). Currents and ship waves are expected to transport this nourished sediment into the main channel. As such, the groyne fields may act as a “sand engine” and may contribute to mitigating the overall channel bed erosion in the Dutch Rhine branches. The scale of this field experiment provides a unique opportunity to observe, analyze, and evaluate the relevant processes on prototype scale. This PhD project will contribute largely to the collection, interpretation and analysis of field data, and will provide knowledge for further upscaling of this approach.

Last Application Date: August 15th 2022

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38. PhD position on energy citizenship for inclusive decarbonization

Summary of Doctoral Project:

We are offering a PhD position at the interface of science, civil society and policy as a part of the Horizon 2020 Energy Citizens for Inclusive Decarbonization (ENCLUDE) project. You will become part of an international consortium of researchers and practitioners that across 13 institutions within the EU and beyond (including Greece, Switzerland, Romania, Belgium, Macedonia, Canada and among other countries). We are interested in expanding the countries of analysis, including but not limiting to Ukraine, with the intention to support potential scholars who have been forced to flee due the invasion of Ukraine. You will be expected to assess and consolidate the social and environmental impact of bottom-up decarbonization activities across the EU. You should have an interest in the energy transition, the role of the individual and collective in social transformation and open to working with both qualitative and quantitative methods.

Last Application Date: 15 August 2022

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39. PhD position Graph-based Machine Learning for Power System State Estimation

Summary of Doctoral Project:

TU Delft is a top tier university and is exceedingly active in the field of Artificial intelligence and the TU Delft’s campus has strong expertise in energy systems. Energy systems are the backbone of our modern society, but are becoming increasingly complex and challenging to operate as renewable energy, heating and transport sectors are integrated into the system. It’s crucially important that energy systems are sustainable, reliable and effective, now and in the future. As part of your 4-year PhD project, you will develop novel graph-based machine learning algorithms for state estimation of energy systems. The scientific challenge is to design a real-time state estimator for the distribution system that accounts for future needs. The future system requires tasks to manage flexibility provisions from distribution systems, effective anomaly detection, congestion management, and fraud detection. State estimation is an important task where the operator considers very little noisy measurement data to infer the full system state. However, often, the accuracy is used to infer the full state while the true state is seldom known and can only be reproduced in computer simulations. Therefore, you will explore a novel approach investigating graph neural networks and structural information and learn the state-estimator semi-supervised enforcing known constraints.

Last Application Date: August 15, 2022

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40. PhD position “Modelling solid-state electrolytes and electrodes, focusing on the interfaces in next generation lithium batteries”

Summary of Doctoral Project:

The PhD position will part of the BatteryNL Dutch battery consortium project focusing on electrolyte-electrode interfaces in solid-state batteries. In this project 17 PhD’s and 5 PD’s at five Dutch universities are collaborating on investigating interface processes with a range of techniques (diffraction, imaging and spectroscopy) to obtain better understanding, and on the development of improved inter phases with various deposition methods. This specific position is located at the Storage of Electrochemical Energy group at the Reactor Institute Delft of the Delft University of Technology The PhD will work on computational modeling of solid-state electrolytes and electrode materials for solid-state batteries, facing the challenge of modeling interfaces to unravel the underlying fundamental mechanisms. The candidate will utilize density functional theory (DFT), ab-initio and classical molecular dynamics, and phase-field modeling techniques to understand the physical and electrochemical properties of materials and battery systems.

Last Application Date: August 15, 2022

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41. PhD Student in Haptics

Summary of Doctoral Project:

In this project, you will 1) analyze finger-surface contact data recorded from real surfaces, 2) develop a generative texture rendering methodology for surface haptic displays, 3) evaluate your methodology by conducting human-participant experiments, and 4) publish your results in the form of journal and conference papers and hands-on demonstrations. Moreover, you will have the unique opportunity to work with a diverse user committee having members from industry (e.g., Huawei Technologies, Siemens, Van Gogh Museum). Besides, you will develop your a) presentation and networking skills by attending international conferences, b) leadership skills by co-supervising B.Sc./M.Sc. students for their theses and improving lab organization, and c) teaching skills by actively contributing to courses as a teaching assistant.

Last Application Date: August 1, 2022

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42. PhD position on Nonlinear Networks of Memory Modeling, Analyses and Regulation

Summary of Doctoral Project:

This PhD project aims at developing mathematical models, conduct control-theory-based analyses and propose regulatory mechanisms for two topics related to memory functioning. To this aim, we will build upon/ and develop tools from nonlinear dynamical systems, oscillatory networks, learning-based, and data-driven techniques. The human memory system can be categorized into two large groups: short-term and long-term memories. Among short-term memory modules is the working memory (WM) which is responsible for holding and processing information in a temporary fashion and in service of higher order cognitive tasks. The first project develops a dynamic computational model to explain behavioral and brain recording data in WM functioning in attention-related tasks. The project will be conducted in collaboration with the Donders Institute on brain, cognition and behaviour.

Last Application Date: August 1st, 2022

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43. PhD position Data-Efficient Deep Learning for Autonomous Driving

Summary of Doctoral Project:

The Intelligent Vehicles (IV) group at TU Delft (*) is seeking a PhD candidate with an interest in performing cutting edge research in the area of environment perception for self-driving vehicles. This PhD position is part of a new EU project EVENTS (ReliablE in-Vehicle pErception and decisioN-making in complex environmenTal conditionS) containing several automotive industry and research partners across Europe. The PhD position addresses data-efficient deep learning for autonomous driving. Existing datasets are often manually labeled by human annotators and state-of-the-art methods use fully supervised techniques to learn from these datasets. The goal of this position is to develop methods that use unsupervised/semi/self-supervised learning, domain adaptation, active learning and prior knowledge to reduce the amount of labeled data that is needed. We perform multi-modal environment perception (i.e. using vision, radar and lidar) in urban traffic scenarios, with a special focus on Vulnerable Road Users (pedestrians, cyclists and other riders).

Last Application Date: 1 August 2022

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44. PhD Hydrogen value chain development – Integrated hydrogen-energy system

Summary of Doctoral Project:

This PhD project concentrates on modelling and simulation of integrated hydrogen-energy systems including production, infrastructure, storage, distribution and end-use conversion, taking into account geographical, spatial and time dimensions. The novel system modelling approaches will provide results giving further systematic insights in the decisions and actions to be taken over time to secure the emergence of the desired outcome – a sustainable, reliable, affordable and fair energy system. This four-year doctoral appointment will be supervised by prof.dr.ir Zofia Lukszo, Faculty of Technology, Policy and Management, and prof.dr. Ad van Wijk, Faculty of Mechanical, Maritime and Materials Engineering. The research will be performed in collaboration with our other consortium partners.

Last Application Date: August 1st, 2022

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45. PhD Hydrogen value chain deployment – Coherent design of technology and regulatory framework applicable to hydrogen-based economy

Summary of Doctoral Project:

In this position, you will work as part of a team of three doctoral candidates in a project called “HyChain Energy System Integration: Agenda for the emerging hydrogen economy supporting energy system integration”.This project, funded by NWO, is a collaboration between TU Delft, University of Amsterdam, Tilburg University, Breda University of Applied Sciences, TNO, ISPT and a range of industrial partners. Presented in May 2022 the REPowerEU Plan builds on the Fit for 55 package with the ambition of achieving at least -55 % net GHG emissions by 2030 and climate neutrality by 2050 in the European Union. Further, it stresses phasing out Europe’s dependence on fossil fuels from Russia before 2030 and increasing the resilience of the EU-wide energy system. Amongst other measures, REPowerEU introduces an ambition to reach in 2030 an additional 15 million tons of renewable hydrogen on top of the 5.6 Mt foreseen under Fit for 55.

Last Application Date: August 1st, 2022

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46. PhD: Eco-efficient aircraft routing to largely reduce climate impact due to warming contrails

Summary of Doctoral Project:

Aviation is a strong and growing sector that guarantees long-range mobility. However, it also contributes significantly to climate change. Emissions from aircraft increase the atmospheric concentrations of e.g., carbon dioxide, ozone, and water vapour. Another very important effect is the formation of contrails, which contribute to climate change with a relatively large uncertaines. Futhermore, the effects of contrails can be waming or cooling depending on time and location. First results indicate that a slight re-routing and avoiding regions with warming contrail formation, significantly reduce aviation’s contribution to climate change. Your work will be part of the European project BeCoM, which aims at improving the prediction of persistent contrails with the strong support of the enhanced routine humidity measurements at the cruise level, enabling reliable mitigation of aviation’s climate impact driven by climate-based policy and regulations. These eco-efficient solutions will be investigated with an Earth-System Model, which includes an air traffic simulator, allowing for various air traffic optimisations.

Last Application Date: 5 August 2022

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47. PhD Position on Artificial Intelligence for Collaborative Climate Risk Management

Summary of Doctoral Project:

Climate changes, such as sea level rise, soil subsidence, extreme rainfall, and drought, induce new challenges and risks for real estate and infrastructures, especially in low lying urbanized deltas, as in the Netherlands. While people’s homes, communities, and livelihoods are at stake, real estate climate risks also stand to destabilize markets and society at large. Climate risk management requires collaborative, integrated strategies that cut across public, private, and civic spheres to achieve societal impact. Your goal, in this PhD project, is to develop Artificial Intelligence (AI) techniques for supporting an Integrative Forum (IF), which facilitates two-way exchange and knowledge co-creation on climate risk management. The IF, on the one hand, provides a ‘soft space’ for debate and reflection between research teams, societal partners, and citizens at large. On the other hand, the dialogue in the IF provides an opportunity for innovative research on institutionalized logics, tactics, and procedures that hinder or enable effective cross-disciplinary collaboration.

Last Application Date: August 5, 2022

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48. PhD Climate impact of future novel aircraft engine technology

Summary of Doctoral Project:

Your work will be part of the European project Minimal, which aims to develop technology in air transportation to reduce the climate impact of aviation substantially. You will investigate the climate impact of developed aircraft engine technologies with appropriate approaches (e.g., climate response model or earth system model). Your research includes active discussions with the European project partners to develop further an open climate response model allowing the evaluation of climate effects from various technologies. This part of your work will also contribute to a DLR internal project developing an open-access climate response model. Furthermore, using the model, you will analyze in-depth the simulated atmospheric response with respect to contrails, chemical composition due to NOx, and carbon dioxide, providing feedback to the engine integration in optimizing climate impact.

Last Application Date: 5 August 2022

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49. PhD Position Sensor Fusion for Wave State and Vessel Response Estimation

Summary of Doctoral Project:

This PhD position combines the fields of sensor fusion, automatic control, and marine dynamics to optimize sensor systems onboard vessels for improved estimation of wave state and vessel response. The combination of these fields, along with considering the effects of combined loading and non-linearities, facilitates an improved understanding of how the vessel responds to ocean excitation and the resulting structural response. This position fits within a larger project, FUSION: Smart Sensing for Informed Maintenance and Optimized Naval Design. This PhD position will develop vessel state-space models, then design and test sensor systems and algorithms for estimating the experienced wave excitation and the resulting vessel response. The overall project aim is to potentially extend the vessel safe service life and give insight into when structural maintenance should be performed. Further, by optimizing sensor systems onboard to better inform maintenance decisions, future vessel designs can be lighter and leaner.

Last Application Date: July 31th, 2022

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50. PhD position Reliability of thin-film silicon solar foil

Summary of Doctoral Project:

The realization of sustainable and circular value chains for annual photovoltaic markets at a scale of multiple terawatts, sets new unprecedented societal and technical challenges expressed in new value-chain-metrics. The unique physical characteristics of lightweight and flexible thin-film silicon PV (LF-TFSiPV) technology makes this technology an excellent candidate for future circular markets. The new challenging value-chain-metrics are related to efficiency, costs, rel.iability, circularity, life cycle analyses, sustainable business models and human capita. This PhD will carry out ressearch focused on flexible lab-scale solar cell and module based triple-junction configurations with conversion efficiencies beyond 15%. The research in this PhD student is focussed on the reliability aspect of thin-film silicon PV devices on lab-scale and module level as well as the reliability of materials: encapsulation materials, adhesives, photovoltaic semiconductor films, TCOs and interconnection.

Last Application Date: July 31, 2022

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51. PhD Position next generation thermal management for fuel cells for the maritime industry

Summary of Doctoral Project:

The maritime industry is under pressure to reduce greenhouse gas emissions as well as hazardous air pollutants. Therefore, it is vital that maritime power- and energy systems are replaced with carbon-free sources of energy. Solid oxide fuel cells (SOFCs) are increasingly considered as a highly efficient, low emission, fuel-flexible alternative for ships. However, low power densities, slow load transients and high capital cost have hindered large scale deployment in the maritime sector so far. These difficulties may potentially be overcome by reconsidering the thermal management of SOFCs. In order to use fuel cells in maritime applications, they should be able to handle sudden load fluctuations, for example for maneuvering or lifting operations. However, sudden load changes may result in large temperature gradients that can be detrimental to the long-term operation of fuel cells. To overcome both high power consumption of the cathode air compressor as well as thermal overloading, liquid cooling could replace the conventional air cooling. However, this introduces additional challenges in fuel cell system design and operation.

Last Application Date: August 1, 2022

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52. PhD Position Low band gap photovoltaic materials based on IV-valence alloys

Summary of Doctoral Project:

The realization of sustainable and circular value chains for annual photovoltaic markets at a scale of multiple terawatts, sets new unprecedented societal and technical challenges expressed in new value-chain-metrics. The unique physical characteristics of lightweight and flexible thin-film silicon PV (LF-TFSiPV) technology makes this technology an excellent candidate for future circular markets. The new challenging value-chain-metrics are related to efficiency, costs, rel.iability, circularity, life cycle analyses, sustainable business models and human capita. This PhD will carry out ressearch focused on flexible lab-scale solar cell and module based triple-junction configurations with conversion efficiencies beyond 15%. The Phd will focus on the development of photovoltaic active low band gap alloys (including the element Ge) having a band gap energy smaller than c-Si (1.12 eV) and a high as possible open circuit voltage in reference to its band gap (minimizing band gap energy utilisation losses/defect engineering).

Last Application Date: July 31, 2022

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53. PhD position in materials for spin qubits 

Summary of Doctoral Project:

We make materials for quantum computers! To empower quantum computing, you will uncover the requirements of materials that will enable qubits for the quantum information age of tomorrow. Our quantum materials have been pivotal to landmark experiments in the field of quantum information and are used globally to advance spin qubit quantum processors. Specifically, you will work on germanium-based materials and quantum devices to push the boundaries of germanium quantum technology. In your PhD track, you will be able to gain a diverse skillset ranging from quantum materials design to nanofabrication and quantum measurements at low temperatures. Join our team to be part of the thriving scientific community in Delft and contribute to the next step in the marathon towards a quantum computer.

Last Application Date: 31-07-2022

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54. PhD Position in high-precision opto-mechanical microchips to analyse cell bio-mechanics

Summary of Doctoral Project:

Throughout the lifetime of human beings, cell growth and differentiation is a dynamic process of creating and preserving organs. Cells are complex biological units and their behaviour is a complex interplay between the individual cells and their surroundings. Their fate is guided by physical and mechanical cues such as local geometry, surface properties and mechanical stiffness. However, much of this complex and dynamic behaviour is not well understood as it requires advanced characterization platforms that can unravel cell bio-mechanics at very small (nano and micro) length scales. In this project, we aim to utilize silicon photonics and optomechanical microchip technology to realize the next-generation platform for cell analysis. This revolutionary opto-mechanical sensory systems can be used to study cells by dynamically measuring their morphological, mechanical, and molecular properties at high speed, high resolution, and in 3D. To create such novel sensory systems, you will use concepts based on integrated photonics (chips that work with light), opto-mechanical sensing (sensing mechanical deformations with light), biomaterial engineering (materials with different shapes and stiffnesses that give mechanical cues to cells), and high-resolution 3D bio-printing. The research includes all aspects of designing, characterizing, fabricating, and incorporating opto-mechanical sensory systems in biomedical devices.

Last Application Date: July 31, 2022

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55. PhD position Computational modelling of vascular calcification

Summary of Doctoral Project:

Vascular calcification – the deposition of calcium into the arterial walls – has been associated with increased risk of cardiovascular and cerebrovascular events and impairments such as myocardial infarct, stroke, cognitive decline and dementia. However, the biomechanical mechanisms involved in vascular calcification and how vascular calcifications trigger the clinical events are poorly understood. This PhD project aims at developing computational models (computational fluid dynamics and finite element models) to unravel these mechanisms and the link to the clinical events. The models to be developed in the project will be informed by the existing in-vitro experimental and in-vivo patient imaging data and will be used to study the complex haemodynamic phenomena involved. The work will contribute to an improved clinical and scientific understanding of vascular calcification and the link to the associated clinical events, potentially opening new streams for disease prevention, early diagnostic, and improved interventions.

Last Application Date: August 1, 2022

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56. PhD Machine Learning for Energy System Dynamics

Summary of Doctoral Project:

This PhD position is a four-year doctoral appointment for a WITH-AI project with the theme for predicting dynamics for time-varying systems and will be supervised by Dr. J. Cremer. Along with your colleagues, you will work on real-time estimation of the system’s operating condition, and extract physical information to enhance machine learning workflows. You will investigate such workflows with a focus on the impacts on time-varying parameters for dynamic studies. You will discover how the discrete behavior of parameter changes can be mitigated in novel neural network-based approaches with the final objective of making the workflows useful for dynamic security assessment studies, and, applicable for real-time purposes.

Last Application Date: July 31, 2022

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