Delft University of Technology (TU Delft), Netherlands invites online Application for number of PhD Positions at various Departments. We are providing a list of Fully Funded PhD Positions available at Delft University of Technology (TU Delft), Netherlands.
Eligible candidate may Apply as soon as possible.
(01) PhD Position – Fully Funded
PhD position summary/title:–PhD Position Design of Emerging Neuromorphic Architectures Based on the Human Neocortex
In this PhD project, you will directly contribute to tackling this challenge by taking inspiration from key neuroscience insight. To do so, you will look into the brain’s computational primitives at an abstraction level that is higher than individual neurons and synapses, one prominent example of which are the cortical minicolumns [2,3]. You will thus
- translate neuroscience observation into an emerging neuromorphic computer architecture,
- minimize its energy and area footprints through hardware-algorithm co-design,
- implement and tape out low-power digital (and/or mixed-signal) integrated circuits based on this architecture,
- investigate the deployment of this prototype in key edge-computing use cases, such as smart prostheses that can adapt to the patient.
Deadline : Open until filled
(02) PhD Position – Fully Funded
PhD position summary/title:–PhD Position High-Fidelity Modelling of Intensified Hydrogen Production from Biomass
The objective of the present PhD research proposal is to develop and leverage an already existing exa-scale friendly CFD modeling framework to advance the knowledge of novel plasma-enhanced biomass gasification systems. A big part of the thesis will be spent on investigating the best approach for magneto-hydrodynamics (MHD) modelling to include the plasma phase. Open questions related to devolatilization and char oxidation as well as the modeling of the two-way gas/solid coupling could also be investigated. Frequent interactions with another student performing experimental work with an in-house microwave-driven plasma gasification system are expected; and the available data will be used to validate numerical results.
Deadline : 3 July 2024
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(03) PhD Position – Fully Funded
PhD position summary/title:–PhD Position Distributed & Adaptive radar for Drone Monitoring
The goal of this project is to work towards transitioning radar from a conventional stand-alone sensor to an intelligent and spatially distributed network of cooperative nodes. The spatially distributed aspect will provide information from many partial viewpoints to reconstruct more detailed 3D signatures of the observed scenarios. The intelligent aspect will enable the radar to adapt its parameters and processing to the changes in objects’ behavior and environment, like in a sort of “chess game”. Hence, the intended scientific breakthrough is to formulate, implement, and validate the ‘distributed radar brain’ needed to establish and support this new sensing approach, combining spatially-distributed with adaptive capabilities in radar classification.
Deadline : July 1, 2024
(04) PhD Position – Fully Funded
PhD position summary/title:–PhD Position Distributed & Adaptive Radar for Human wellbeing Monitoring
The goal of this project is to work towards transitioning radar from a conventional stand-alone sensor to an intelligent and spatially distributed network of cooperative nodes. The spatially distributed aspect will provide information from many partial viewpoints to reconstruct more detailed 3D signatures of the observed scenarios. The intelligent aspect will enable the radar to adapt its parameters and processing to the changes in objects’ behavior and environment, like in a sort of “chess game”. Hence, the intended scientific breakthrough is to formulate, implement, and validate the ‘distributed radar brain’ needed to establish and support this new sensing approach, combining spatially-distributed with adaptive capabilities in radar classification.
Deadline : July 1, 2024
(05) PhD Position – Fully Funded
PhD position summary/title:–PhD Networks of Care: The Architecture of Future Healthcare Environments
In a world increasingly driven by data, healthcare facilities are undergoing profound changes, embracing new technologies to reinvent how they deliver acute care and interact with other healthcare providers. This shift enables healthcare institutions to focus on their core competencies while delegating non-essential tasks to specialized entities. As wearables and sensor networks become more prevalent, the traditional model of hospitals as standalone care providers is evolving into a broader, interconnected network that integrates personal wearables, smart home systems, and other healthcare technologies.
Deadline : June 2, 2024
(06) PhD Position – Fully Funded
PhD position summary/title:–Postdoc Modelling of Aviation’s Climate Impact for Eco-efficient Flight Trajectory
The aviation industry has been growing rapidly until the COVID-19 pandemic. The ICAO Post-COVID-19 forecasts indicate that aviation will recover with a growth rate ranging from 2.4%-4.1% for a low to a high scenario, respectively. Air traffic growth inevitably causes an increase in aviation’s combustion and emissions, hence aggravating aviation’s climate and societal impacts. Depending on your seniority, you will conduct research into the model development to enable robust climate optimized flight trajectories as a postdoctoral researcher working in the Horiozon Europe F4ECLIM. The goals for this position is that you will further develop the open-source climate model with a novel approach to address the uncertainties related to NOx emissions.
Deadline : 17 June 2024
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(07) PhD Position – Fully Funded
PhD position summary/title:–PhD Position Digitalisation of Project Work
This project aims to increase our understanding of how projects can be delivered leveraging the opportunities of digitalisation. Focusing on the people aspect of projects and the increased societal need for inclusive teamwork, wellbeing and job satisfaction, this project will focus on exploring ways that digitally-enabled projects contribute to social sustainability and a better world. We are seeking a highly motivated PhD candidate to join our research team, focusing on the research in the area of project management, digitalisation and wellbeing integrating social science methods and systems thinking. This PhD project presents a unique opportunity to research the balance of people and technology for project work which is relevant to solving grand challenges in the 21st century.
Deadline : 16 June 2024
(08) PhD Position – Fully Funded
PhD position summary/title:–PhD 3D Super-resolution microscopy
The PhD position is part of research of prof. Bernd Rieger and prof. Sjoerd Stallinga, in which we target 3D super-resolution microscopy by the “re-scan confocal” technique. Here the confocal spot that is scanned through the sample is re-imaged onto a conventional camera, enabling advances in resolution and signal-to-noise ratio.
We strive for improving this technique with optical engineering of the scan spots and/or scan patterns, by extending the technique to full 3D microscopy, and by applying it to single-molecule localization. The project builds on the lab’s track-record in the field of computational imaging techniques for super-resolution microscopy.
The project will run in collaboration with the company Confocal.nl that brings the re-scan confocal technique to microscopy users, and is part of a bigger consortium on 3D Nanoscale Imaging in which different academic groups run research collaborations with companies in this area.
Deadline : 15 June 2024
(09) PhD Position – Fully Funded
PhD position summary/title:–PhD position Thermo-physical properties of nuclear fuels for Molten Salt Reactors
The molten salt reactor (MSR) was selected as one of the promising designs by the International Generation IV International Forum for the next generation of nuclear reactors. Running on a liquid molten salt fuel as opposed to the current generation of nuclear reactors, the Molten Salt Reactor technology provides a safe and truly innovative concept. Moreover, it can be coupled to a thorium fuel cycle, which produces less long-lived radioactive waste and allows a sustainable energy production, as thorium is three times more abundant on Earth than uranium. However, before the Molten Salt Reactor technology can be realized, a thorough safety assessment of all components of the reactor must be carried out.
One main challenge for the development of the MSR technology and its commercialisation in the near future is a thorough understanding and assessment of the thermo-physical properties (e.g melting temperature, heat capacity, density, viscosity, thermal conductivity) of the molten fuel salt during reactor operation. During irradiation, numerous fission products are generated, which will affect the chemistry and properties of the fuel. Understanding and modelling the irradiated fuel chemistry and properties is a strong requirement for the safety assessment. As part of the recently granted European project EUDURANCE, we are looking for a PhD candidate that will work on this challenging task.
Deadline : Open until filled
(10) PhD Position – Fully Funded
PhD position summary/title:–PhD Radiochemistry
In this project you will work on the development of 166Dy/166Ho generator by combining concepts from different fields including nanotechnology (synthesizing dysprosium-based nanomaterials) and radiochemistry (radiochemical separation to selectively extract Ho-166) to create the new generator and assess whether the produced Ho-166 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.
Deadline : 15-06-2024.
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(11) PhD Position – Fully Funded
PhD position summary/title:–PhD Position Systems and Systems Security
The Cybersecurity (CYS) group at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) invites applications for full-time doctoral candidates in Systems and Systems Security. Successful candidates will develop novel methodologies and systems for increasing the security of systems software, that is, software written in low-level languages like C/C++ that operates in user or kernel space. Examples include developing techniques to harden software against exploitation of vulnerabilities and compartmentalization of software components. 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.
Deadline : June 13, 2024
(12) PhD Position – Fully Funded
PhD position summary/title:–PhD Position Enhanced Image Processing for Scattered Light Microscopy
We offer an exciting PhD position at TU Delft on the junction of computational imaging, optics, image processing, and biomedical research. Apply now and contribute to a better reconstruction of complex fiber networks in the brain and other biological tissues.
The position is in the group of Dr. Miriam Menzel, at the Department of Imaging Physics. The group works on scattered light microscopy to visualize complex fiber networks. Your task will be to analyze measured scattering signals from different biological tissues, develop enhanced image processing tools to improve the reconstruction of underlying fiber structures, and inform the development of new measurement protocols. Possible projects include the automated classification of fiber types in histopathological tissues, or the estimation of structural sizes based on scattering measurements with different wavelengths.
Deadline : 12 June 2024
(13) PhD Position – Fully Funded
PhD position summary/title:–PhD Position Integrated Planning and Learning for Drones
Drones have become increasingly prevalent in various domains including agriculture, environmental monitoring, search and rescue, and surveillance. To realise their full potential, new methods are needed to support autonomous decision-making within unstructured, dynamic environments.
Conventional approaches to drone mission planning often rely on predefined trajectories or reactive behaviours, limiting their versatility and robustness in real-world scenarios. In contrast, integrating planning with novel learning paradigms enables drones to dynamically adapt their actions based on environmental feedback and past experiences.
The PhD candidate will develop innovative planning algorithms which exploit elements of robotic learning. The research will especially focus on planning for small drones operating in challenging scenarios, e.g. monitoring plant parameters in greenhouses, where commonly used conventional methods fall short. The candidate will explore various techniques in robotic learning, ranging from reinforcement learning to active learning, with the aim of enhancing the autonomy, adaptability, and efficiency of embodied drone platforms in such scenarios.
Deadline : 12 June 2024
(14) PhD Position – Fully Funded
PhD position summary/title:–PhD Position in AI-Supported Learning Ecosystem
We are looking for a PhD candidate who is going to be involved in a programme “Future-Proof Living Environment: Transition towards zero-emission, circular and climate proof buildings and infrastructures”, funded by the National Growth Fund in the Netherlands. The PhD position is part of the sub programme “Living Lab Learning Environments”. Aim is to develop a scientifically grounded co-creative approach to innovation which is reproduceable and scalable. It aims to do so by combining testing and implementation of new technologies with social innovation in living labs, in which social innovation is about enabling flexible and reproducible way of learning. Within this focus, this PhD position will hone in on the role of data and digital innovation, including Artificial Intelligence, in planning, design and decision-making for a future-proof living environment. In the context of the built environment, there has been an increasing focus on digitalisation and digital tools recently to understand the transformative changes in cities. However, understanding the complexities and interdependencies between different scales and levels is difficult to predict and conceptualise in practice. In that sense it is important to understand how digitalization/Artificial Intelligence/data can help to make the choices between priorities within cities and within neighbourhoods, bringing also the multi-scalar interdependencies of choices into focus. In this PhD, we aim to use urban experiments/living labs to gain understanding of how an experimental approach on multiple spatial levels can help to make a multi-level transition in the built environment. In other words, this PhD position explores how digitalization/digital tools can be supportive in deciding on what transformative changes to make in the built environment..
Deadline : June 9, 2024
(15) PhD Position – Fully Funded
PhD position summary/title:–PhD Position Numerical Methods for Stochastic Differential Equations
The focus of the project lies on the numerical approximation of solutions to stochastic differential equations, which due to the form of these equations are not Markov processes. Such stochastic processes “with memory” are of importance in several disciplines, such as for financial and statistical modelling. However, due to the correlation structure their computational simulation is very challenging. The PhD project addresses this challenge. Possible topics are computational methods for stochastic equations driven by fractional Brownian motion and multilevel Monte Carlo methods. Applications include option pricing under rough volatility models in finance and long-range dependencies in statistics.
Deadline : June 7, 2024
(16) PhD Position – Fully Funded
PhD position summary/title:–Two (2) PhD Positions on Algorithms for Formal AI Verification and Explainability
You will conduct both theoretical and empirical research at the intersection of logic, optimization, machine learning, control, monitoring, interpretability, and visualization. Both PhD projects are inspired by real-world deployment of AI, with one leaning towards advancing theory and the other to be done in close collaboration with domain experts from the Netherlands Railways (NS), leading to significant scientific as well as 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. 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.
Deadline : June 7, 2024
(17) PhD Position – Fully Funded
PhD position summary/title:–PhD Positie Dynamische Modellering van Criminele Machtsstructuren
Je project is onderdeel van het Model-Driven Decisions (MoDD) Lab, een Politie -TU Delft initiatief. In het MoDD Lab sluit je je aan bij een interdisciplinaire gemeenschap van vier collega-promovendi. Samen delen jullie kennis om modelgebaseerde besluitvorming vanuit verschillende perspectieven aan te pakken. Natuurlijk schrijf je ook wetenschappelijke artikelen en spreek je op toonaangevende conferenties. Bij de TU Delft kom je terecht bij de gedreven en internationaal diverse sectie Beleidsanalyse van de afdeling Multi-Actor Systems. In ons team werken zo’n 60 academische medewerkers, promovendi en postdocs op gebieden variërend van gezondheid en veiligheid tot infrastructuur en klimaat. We delen de drive om beleidsvorming te verbeteren en koesteren een ontspannen, collegiale en collaboratieve sfeer. En we geven je alle steun die je nodig hebt om je carrière als onderzoeker te laten groeien.
Deadline : Open until filled
(18) PhD Position – Fully Funded
PhD position summary/title:–PhD Positie Geautomatiseerde activiteitdetectie van meerdere sensoren
In dit vijfjarige project bestudeer je literatuur over computervisiemethoden voor meerdere camera’s, eventueel uitgebreid naar combinaties met andere sensoren, zoals radar of microfoons. Daarnaast zul je machine learning algoritmes ontwikkelen en testen die mensen en objecten, zoals auto’s, kunnen volgen met behulp van de input van camera’s en sensoren op verschillende locaties en op verschillende tijdstippen. Het einddoel is ML-gestuurde detectie van complexe activiteiten, door neurale netwerken te ontwerpen voor het evolueren van spatio-temporele grafieken om on-the-fly informatie van meerdere bronnen te integreren. Naarmate je onderzoek vordert, zul je het politiekorps helpen bij het implementeren en gebruiken van je algoritmen, waarvoor je ook politiegebruikers zult coachen en trainen.
Deadline : Open until filled
(19) PhD Position – Fully Funded
PhD position summary/title:–PhD Position Dynamic Modelling of Criminal Power Structures
In this 5-year project, you will spend 20% of your time at the Police. You will be working closely with police officers and scientists, thus benefiting from their in-depth knowledge, insights and expertise. Your research will be based on real-world cases related to e.g. narcotics, money laundering and corruption. Harnessing system dynamics to capture the complexity and deep uncertainty, you will model basic structures of crime organisations. Your models will leverage limited available data, yet generate a broad scope of potential futures and robust interventions. You will also focus on sharing knowledge to scientific and non-scientific police stakeholders. That’s how you will enable police scientists to continuously adapt your models to new realities. And you will help decision-makers, officers and detectives effectively use the insights gained.
Deadline : 2 June 2024
(20) PhD Position – Fully Funded
PhD position summary/title:–PhD Position Impact of Demographic and Societal Developments on Police Operations
Cutbacks in mental health, addiction and youth care, an ageing population and growing frustration over social inequality are just some of the developments that have a resounding impact on police operations. In addition, the ongoing tight labour market and ageing also affect the police force’s capacity. To secure robust police strategies and effective policy-making, a thorough understanding of this complex and continuously changing reality is crucial. As a PhD candidate at TU Delft, you will develop dynamic systems models to capture these developments and uncertainties. Would you like to see your research applied in the real-world security domain?
You will conduct unique research into the impact of multiple phenomena on police operations, capacity, and competencies. Based on real-world use cases, you will look into the impact of demographic and societal developments. And you will research and model those developments, how they interact, and add spatial dimensions in system dynamics models. In this 5-year project, you will spend 20% of your time at the Police. Working closely and interacting with police-experts, you will benefit from their experience, expertise, in-depth insights and available data and models. To stimulate adoption of your models, you will develop simulation models under uncertainty geared to knowledge development and retention in the complex, multidisciplinary police organisation. You will, of course, also be writing scientific articles and speaking at leading conferences.
Deadline : 2 June 2024
(21) PhD Position – Fully Funded
PhD position summary/title:–PhD Position in Activating History and Heritage of Amsterdam’s Bridges and Quaywalls for Sustainable Development and Protection
The research has three goals.
- To produce advanced historical knowledge of the past, connecting archival knowledge to contemporary data sets. We imagine a web portal that allows for advanced understanding of historic palimpsest – sewage lines, canal foundations, historic dams, etc. – embedded underground and invisible to the naked eye.
- To provide a conceptual background to assure that design interventions respect the site’s unique character and heritage value of historic quay walls as part of future sustainable practices,
- To explore how newly reconceptualized multifunctional quay walls, defined here as having multiple spatial purposes, social practices, and cultural meanings can help protect historic features and potentially build on/reinvent historic practices. To facilitate changes in building practices and lifestyles, this the project engages with Living Labs that allow experimentation with temporary quay walls – as permitted by World Heritage regulation during reconstruction moments and in preparation for permanent interventions.
Deadline : June 2, 2024
(22) PhD Position – Fully Funded
PhD position summary/title:–PhD Position Optimal Exploration of Networks
When fighting crime, it is crucial to be able to forecast how actors are going to respond to actions. Whether the police acts on information captured, or intervenes in e.g. a money laundering or drugs chain, any action will provoke an uncertain reaction. As a PhD candidate at TU Delft, you will bridge fundamental research and police practice. To enhance the predictive models used by the police, you will harness reinforcement learning to optimise the exploration of networks. Would you like to see your research applied in the real-world security domain?
The police use multiple models to enhance their effectiveness. Yet the data, represented as interconnected networks of nodes, are limited, while the potential response to disruptions is volatile. You will develop algorithms to identify and prioritise the uncertainties in networks, assess the risks of interventions, and predict the actors’ response to disruptions. And you will use simulations to test your enhanced models. You will, of course, be writing scientific articles and speaking at leading AI conferences. In this 5-year project you will spend 20% of your time at the Netherlands police force. Working closely with police experts, you will benefit from their experience, expertise and in-depth insights.
Deadline : Open until filled
(23) PhD Position – Fully Funded
PhD position summary/title:–PhD Position Quantitative MRI
The Magnetic Resonance Systems lab (Mars lab) at TU Delft works relentlessly on the advancement of quantitative Magnetic Resonance Imaging. We are presently recruiting a PhD student to pursue their four year doctorate in our lab funded by a prestigious ERC Starting Grant (VascularID). The successful candidate will join a young and dynamic group in a prolific, creative and fun environment.
The starting date for this position is August 1st, 2024 or sooner. The PhD student will be leading their own research projects integrated into an innovative research line that aims to uncover new MRI signal phenomena in the microvasculature and develop novel acquisition schemes to use those as biomarkers with quantitative MRI. This project will comprise a strong biophysical modeling and MRI sequence development part, as well as experiments in inanimate phantom objects and applications in vivo. The successful candidate will also be involved in other ongoing research projects at the lab including
Deadline : 2 June 2024
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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