Delft University of Technology (TU Delft), Netherlands invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Delft University of Technology (TU Delft), Netherlands.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Modelling and Optimization of Processes to Recycle Low-grade Biogenic Waste
As the Netherlands phases out fossil feedstocks, carbon becomes a critical raw material for everyday materials (e.g., plastics, asphalt, composites, batteries). While renewable carbon can come from biogenic waste, low-grade biowaste is often wet/contaminated and is therefore typically downcycled (e.g., low-value compost/animal feed) or incinerated, which also creates problematic bottom and fly ash residues and can spread persistent contaminants.
This leaves a major gap: how to valorize low-grade waste into high-value products beyond biofuels/biogas at industrially-relevant scales?
The NWA-ORC funded consortium project ABEL addresses this challenge by combining technology development with process modelling and assessment across the waste value chain. The members of the consortium include 4 other research Universities, 2 Universities of Applied Sciences, and companies across the value chain of biomass.
Deadline : 31 August 2026
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Position eXtended Reality for Inclusive Automated Vehicle Interaction
Automated Vehicles (AVs) are set to transform road travel, promising significant improvements in road safety, accessibility, and transportation equity. However, as autonomous vehicles move closer to widespread deployment a critical question remains largely unanswered: how can AVs interact safely and effectively with vulnerable road users (VRUs), including people with disabilities? Such interactions involve complex human decision-making processes that span behavioral, cognitive, psychological, and physiological dimensions. To date, these dimensions have largely been studied in isolation, leaving their interconnections and their role in real-world AV–VRU interactions poorly understood.
In this PhD role you will focus on employing Virtual Reality technologies to better understand this complex interaction process and explore how external Human-Machine Interfaces (eHMIs) can enable safer and more inclusive interactions.
You will:
- Develop a theoretical framework for identifying key characteristics of AV–VRU interactions and define design criteria for inclusive eHMIs.
- Design accessible VR simulators for people with disabilities.
- Conduct VR experiments to collect data and model decision-making processes in AV–VRU interactions.
- Conduct real-world testing to evaluate the effectiveness of inclusive eHMI design.
- Collaborate closely with other PhD researchers on related projects and relevant topics.
- Publish in high-impact scientific journals and disseminating findings through conferences and stakeholder workshops.
Deadline : 30 Aug 2026
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Advanced Adaptive Optics for Laser Satellite Communications
Laser satellite communication is an emerging technology with strong potential for high-capacity data transmission, particularly for intersatellite links. However, achieving reliable optical communication between ground stations and satellites remains challenging due to atmospheric turbulence.
This PhD position is part of the STARS: Smart 3D Tomographic Adaptive Optics for Turbulence-Resilient Optical Communication Systems project. The research focuses on optical communication links with geostationary satellites.
Geostationary satellites are widely used for communication applications, such as television and radio broadcasting, due to their fixed position relative to the Earth. At the same time, their large distance introduces significant challenges in terms of signal strength and robustness.
The project investigates a novel approach in which multiple laser beams are combined to achieve constructive interference at the satellite. This increases the optical intensity at the receiver and improves communication performance over long distances.
Within this PhD project, you will focus on the development and experimental validation of the advanced adaptive optics system required to enable this concept. The work includes the development of estimation and control algorithms and their validation in a laboratory environment. A key aspect of the research is the estimation of the required wavefront compensation to maximize the transferred optical energy.
The position is embedded in a collaborative environment with academic and industrial partners. Supervision will be provided by TU Delft and Airbus Netherlands. The project is part of a broader consortium including TU Eindhoven, FSO Instruments, Celestia STS, IMEC Leuven, Flexible Optical, TNO, and SES.
Deadline : 31 Aug 2026
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Metaoptics for Space Applications
We are seeking a highly motivated PhD candidate to join the INTERPRETER project, an interdisciplinary research initiative focused on the development of next-generation compact hyperspectral spectropolarimetric cameras. Hyperspectral imaging enables simultaneous acquisition of spatial and spectral information, supporting applications in earth observation, semiconductor metrology, agriculture, medical imaging, industrial inspection, and environmental monitoring. Current detector technologies face limitations in spectral coverage, imaging speed, scalability, cost, and CMOS compatibility. The INTERPRETER project aims to overcome these challenges employing photonic crystal-based spectropolarimetric filter arrays. The project will advance novel imaging technologies capable of delivering compact, high-performance instruments for satellite-based aerosol monitoring, climate research, and industrial sensing applications.
Ideally, the candidate should have a strong background in optics/nanoptics, both experimentally as well as theoretically. Tasks involve the design and manufacturing of photonic crystals, the detector integration as well as the optical testing. The INTERPRETER project will be in collaboration with SRON Space Research Organisation Netherlands, where as well parts of the experimental work will take place.
Deadline : 30 Aug 2026
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Advanced Lattice Boltzmann Methods for Multiphysics Simulations of Nuclear Reactors
We are seeking a highly motivated PhD candidate to advance the state-of-the-art in the Lattice Boltzmann Method (LBM) for challenging multiphysics applications in nuclear energy systems. The research will focus primarily on Molten Salt Reactors (MSRs), while the developed methodologies are expected to be broadly applicable to other advanced reactor concepts.
The Lattice Boltzmann Method has emerged as a powerful alternative to conventional Computational Fluid Dynamics (CFD) approaches due to its flexibility, excellent scalability, and suitability for massively parallel computing architectures. This project aims to extend and optimize LBM techniques to address the complex coupled phenomena occurring in advanced nuclear reactors.
Key research topics include: Thermal-hydraulic phenomena in nuclear reactor systems; Phase-change processes such as melting and solidification in molten salt environments; Gas injection and multiphase flow phenomena, including the introduction of inert gases into molten salts; Turbulent flow modelling; Coupled neutron transport and reactor physics; Precursor transport; Chemical interactions and species transport; Corrosion and material degradation processes.
In addition to developing new physical models, the project will investigate advanced numerical methodologies, including: Novel and improved boundary-condition treatments; Advanced collision schemes; Multigrid and accelerated solution techniques;
A major component of the project is the efficient implementation of these methods on modern GPU-based high-performance computing platforms. Owing to the inherently parallel nature of the Lattice Boltzmann Method, substantial computational performance gains can be achieved, enabling high-fidelity simulations of complex reactor systems.
Deadline : 31 Jul 2026
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Hydrogen-based Novel Flow Battery Technology
Energy storage is an indispensable factor for bridging the electricity consumption with the intermittent renewable energy supply. With increasing supply of renewable electricity in our energy mix, and electrification across industrial, transport, commercial, and residential sectors strains existing grid infrastructure, electricity storage is required to prevent congestion and transmission bottlenecks. This energy storage is required at a broad range of timescales. While technology is available for the short to medium timescales, very little technology is available to store electricity efficiently to cover durations of 25+ hours.
In that light, we started the collaborative research project REDOX BLEND, performed at seven Dutch universities and knowledge institutes (TU Delft, RUG, UTwente, TU/Eindhoven, U Nijmegen, DIFFER, TNO) to develop next generation batteries for ultra-long-duration energy storage.
This project will focus on the development of inorganic, hydrogen-based flow batteries, for high power density and energy density. Among these is the hydrogen-iodine flow battery. This battery type has fast kinetics and recent work demonstrated that an electrolyte with high pH and co-solvent can achieve high iodine solubility and high open circuit voltage. However, this battery type is in early stage of development. Further analysis is required, including studying the configuration of such alkaline H2-I2 battery and longer- term stability. Results will be compared and merged with developments in other flow battery chemistries, developed at other universities and industrial partners (Aquabattery, Elestor, Ore Energy) in this project.
We’re looking for a candidate with an excellent performance in BSc/MSc studies, with knowledge about electrochemistry and experience in performing laboratory experiments. For this vacancy, we’re looking for a candidate with strong engineering skills (rather than materials science or fundamental electrochemistry), to demonstrate this technology at stack level. The candidate should also have a pro-active mindset and good skills to collaborate in with partners in the project and allow to evaluate this technology for ultra-long energy storage from multiple angles.
Deadline : 30 Aug 2026
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Position on Assessing Private Climate Change Adaptation Effectiveness and Limits
Over the 4-year trajectory, the successful candidate will conduct impact-focused research bridging empirical survey data with advanced computational modeling. Your main responsibilities will be shared between two main research activities (approximately 70%-30%):
1. Large-Scale Survey Development & Data Analysis for Ex-Post Assessment: Develop and deploy a structured household survey to evaluate the (perceived) effectiveness of past and ongoing private adaptation across 3 European countries. Depending on the case, we will focus on adaptation to key climate-induced hazards: heatwaves, wildfires, droughts, floods, and sea level rise. Relying on the existing expertise in our team and state-of-the art surveys, the PhD student will lead the development of the household survey and analyze data to assess the conditions for “soft limits” (behavioral, economic, social, institutional) that hinder private adaptation. The goal is to elicit empirical evidence on the adaptation constraints such as income differentials, risk awareness, self-efficacy, social norms, and self-perceived vulnerability. Potential collaboration: you will get an opportunity to work closely with a sister institution in Italy, exchanging insights and questions with their team developing parallel surveys for firms.
2. Agent-Based Modeling (ABM) & Ex-Ante Assessment: Translate the empirical evidence from your surveys into modular ABM components to study adaptation effectiveness over time and explore when household adaptation limits are reached. The PhD student will leverage existing in-house ABMs at TU Delft (e.g. EMERGO, CRAB, FAST) that can be applied at different spatial scales (urban to national) to project the uptake of private adaptation measures under multiple hazards and constraints. ABM permit comparative analyses of adaptation effectiveness, avoided economic losses and damages, and distributional impacts across society. By applying household survey data from different European cases, we can advance the development of private household adaptation module as a standardized, interoperable building block. This effort will contribute to open science by sharing empirically-verified software modules via www.agentblocks.org, allowing the broader international climate modeling community to integrate these ready-made components.
Deadline : 31 Aug 2026
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Positions in Theoretical Chemistry and Physics (ERC-Funded)
Three PhD positions are available The Alessio group at the Department of Quantum Nanoscience, TU Delft, to investigate the electronic structure and magnetic behavior of molecular and atomic spins on surfaces. These PhD positions form the core of the ERC project, SPINOCCHIO, “A new quantum chemical approach to spins on surfaces.”
Molecules and atoms with unpaired electrons exhibit a net magnetic moment and serve as the building blocks of molecular quantum devices for next-generation technologies. As the design principles for long-lived molecular magnets become clearer, the next challenge is assembling these units into spin lattices via surface deposition and addressing their magnetic behavior at the single-molecule level. Recent advances in EPR-STM techniques have enabled the manipulation of individual spins and spin arrays on surfaces.
However, our current theoretical toolkit for molecular magnetic materials lags behind these experimental breakthroughs. DFT fails to capture strong correlation, while wave function-based methods are computationally prohibitive for strongly-correlated materials.
This project aims to change this and advance our understanding of the static and dynamic behavior of spins on surfaces and surface spin arrays. These systems, which represent real molecular quantum devices comprising hundreds of atoms and multiple magnetic centers, pose a huge dilemma in quantum chemistry between system size and complexity. To overcome this challenge, we will develop a new quantum chemical approach that combines periodic quantum embedding with a coarse-grained treatment of strong correlation. Equipped with these new tools, we will investigate how the surface affects the magnetic behavior and spin relaxation of the magnetic adsorbate. Moreover, we will explore all light-induced phenomena key to the optical control of individual spins. This newly gained knowledge will guide the design of magnetically stable and optically addressable spins on surfaces, bringing molecular quantum technologies to fruition.
Deadline : 24 Aug 2026
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
Research and industry are increasingly investing in new aircraft concepts (e.g., powered by batteries, hydrogen, and other alternative energy sources) that promise to significantly reduce aviation’s climate impact. These aircraft, however, come with fundamentally different performance characteristics forcing airlines to rethink their operations well before such aircraft enter service. This PhD project will help make this transition possible!
The primary focus of this research will be on the development of new methods and models that efficiently couple new aircraft designs with new fleet allocation and schedule decisions. Such will enable airlines to minimize fleet-wide emissions once new aircraft types are introduced. The produced methods and models will form part of a larger simulation enviroment that evaluates the airspace of the future.
Deadline : 30 Aug 2026
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Smart Sensing and Monitoring of Railway Embankment
Railway embankments form the foundation of the railway system and play a critical role in ensuring the safety, reliability, and resilience of rail transport. As these assets age and are exposed to increasing traffic loads and environmental effects, efficient methods for monitoring their condition become essential. Traditional inspection approaches can be costly, time-consuming, and limited in spatial and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway embankment health through the integration of multiple monitoring technologies, enabling more frequent, scalable, and data-driven asset management.
The project will investigate the integration of Axle Box Acceleration (ABA), Laser Doppler Vibrometry (LDV), and Track Geometry (TG) data to enable indirect and frequent assessments of railway embankment conditions. Using measurement data collected by the CTO monitoring train in the Netherlands, the research will examine the relationships between LDV measurements and existing indicators of track quality derived from ABA and TG data, aiming to establish robust indicators of embankment condition.
To support the interpretation of monitoring data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody dynamics (MBD) approaches. The model will be used to investigate the mechanisms governing vibration responses measured by LDV and to improve the understanding of how embankment condition influences train-induced dynamic behaviour.
Deadline : 1 Sep 2026
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Positions in Experimental Physics Research on Magnetic Domain Wall Qubits
The Kouwenhoven Lab is seeking PhDs researcher to join our team in developing a new type of qubit based on Majorana bound states in Kitaev chains.
This project will develop Majorana qubits in longer Kitaev chains, thereby reaching topological protections. We foresee chains up to 5 sites in qubit geometry. We will study the different noise sources that can dephase the qubit and how to protect against these disturbances.
We will explore new gate operations including fusion and braiding which are special qubit operations unique for Majorana bound states. We will study the effect of improved protection on these operations when making the chains longer. In addition, we will develop 2-qubit gate operations, creating entanglement between different pairs of Majoranas.
This PhDs position will also work in close collaboration with a partner group specialized in 2D materials (Goswami group) and a theory group (Wimmer group) for numerical simulations.
We welcome applications from motivated and passionate experimentalists with a background in low-temperature electrical transport, qubits and a strong interest in both academic research and technological applications. A doctoral degree in a relevant field, or the expectation of obtaining one soon, is required.
You will join a diverse and inclusive team at QuTech, located in the heart of the TU Delft campus. Our state-of-the-art research facilities provide a world-class environment for quantum and nanoscale research, offering exceptional opportunities for innovation and collaboration.
Deadline : 2 Aug 2026
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Quantum Magnonics
We have an open PhD position funded by the Dutch Research Council (NWO) as part of Dutch-Japanese collaborative program on Unconventional Computing. The project is on quantum magnonics; the successful candidate will theoretically investigate quantum properties of propagating spin waves in magnetic materials and see how these can be used for quantum information. Extensive collaboration with experimental groups within the consortium is essential. The PhD candidate will be supervised by Prof. Yaroslav Blanter in Delft and Prof. Rembert Duine in Utrecht, and part-time presence in Delft and Utrecht is expected during the whole project. In Delft, the candidate will be embedded in Blanter Group which is part of the Department of Quantum Nanoscience. In addition, the candidate is required to spend 42 weeks at Tohoku University in Japan, working with Mehrdad Elyasi and Gerrit Bauer. The tentative start date is 15 November 2026.
Deadline :30 Jul 2026
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Developing a Digital Health Passport for Railway Tracks on Bridges
Railway bridges and the tracks they support are critical components of the railway network, directly affecting safety, reliability, and operational performance. As railway infrastructure ages and traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel “Health Passport” system for railway tracks on bridges, enabling data-driven condition assessment and supporting more efficient maintenance and asset management strategies.
The project aims to develop a comprehensive “Health Passport” framework that integrates monitoring data and physics-based modelling for the health assessment of railway tracks on bridges, using Dutch railway infrastructure as a primary case study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed on selected instrumented railway bridges. Building on these insights, an on-board measurement system (e.g., based on Axle Box Acceleration (ABA) or Laser Doppler Vibrometry (LDV)) will be designed and implemented to collect additional data for incorporation into the Health Passport.
Advanced data analysis techniques, including synchronisation, correlation analysis, feature extraction, and signal processing, will be employed to identify indicators of track and bridge condition. In parallel, physics-based numerical models will be developed to simulate train–track–bridge dynamic interactions and their resulting structural responses. The health condition of railway tracks on bridges will then be characterised through the analysis of vibration responses generated during train passages.
With every train passage, a comprehensive set of dynamic response data will be collected, creating a continuously evolving record of how the railway track–bridge system behaves over time. This living database will form the foundation of the Health Passport, enabling long-term condition monitoring, performance assessment, and early detection of potential deterioration.
Deadline : 1 Sep 2026
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Realising Business Impact from Construction Software
This PhD project investigates how construction firms realize value from construction software. The central question is how digital investments are translated into measurable business value. Rather than studying software adoption as a technical issue, the project examines value realisation as an organisational and strategic process. It focuses on the alignment between enterprise-level decision-making and project-level implementation, including tensions between standardisation and flexibility, enterprise integration and project autonomy, and strategic intent and operational use.
The research is planned to use a comparative multiple-case study design. You will conduct in-depth empirical research with construction firms undergoing digital transformation. This will include interviews with executives, IT leaders, digital transformation leads, project managers, and site teams; document and data analysis; and, where possible, on-site observation of software use in active project settings. The qualitative case study work will be complemented by a targeted survey of industry decision-makers.
The expected outcome is a better understanding of how construction firms define the business case for digital software, how they organize implementation across firm and project levels, and what distinguishes successful, partial, and failed trajectories of value realisation. It should be noted that digital software here refers to field management software and enterprise resource planning (ERP) software, not product modelling software such as Building Information Modelling (BIM), although knowledge of BIM can be helpful. The project will contribute to academic debates on digital transformation, construction management, project-based organizing, and firm performance. It will also produce practical guidance for executives, project teams, and digital transformation leads seeking to make better decisions about construction software implementation.
You will be based in the Department of Management in the Built Environment at the Faculty of Architecture and the Built Environment, TU Delft. The project will be supervised by Daniel Hall, Eleni Papadonikolaki, and Hans Wamelink, and will be associated with the DigiConstruct Lab. The PhD will also engage with an industry sponsor – Hilti – and industry partners through regular meetings, workshops, and empirical fieldwork.
Deadline : 8 Sep 2026
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Electrical Engineering: Cryo-CMOS Circuit Design for Temperature Sensors in Quantum
Quantum computers and quantum sensors require electronic interfaces that can operate reliably at cryogenic temperatures. However, conventional room-temperature electronics rely on extensive wiring, creating significant challenges for scalability, system integration, and performance. In this PhD project, you will contribute to the development of cryogenic electronic interfaces that support future quantum technologies.
You will join a leading research group at TU Delft that pioneers cryo-CMOS integrated circuits: CMOS circuits operating at temperatures as low as 4 K. These technologies enable highly integrated electronic systems for quantum computing and sensing applications and offer unique opportunities for innovation in analog and mixed-signal circuit design.
Your research will focus on the development of integrated cryogenic temperature sensors. Accurate temperature monitoring is essential for thermal management in complex quantum systems, where temperature variations can affect performance and reliability. Existing cryogenic sensors are often bulky, costly, and difficult to integrate. Although smart temperature sensors in CMOS technology have been developed for decades over the standard temperature range around room temperature, those standard techniques cannot be readily applied at cryogenic temperatures, thus requiring innovations in terms of sensing elements, readout circuitry, and power efficiency. You will then investigate new sensing principles and develop energy-efficient sensor architectures specifically designed for operation at cryogenic temperatures.
Throughout your PhD, you will design, simulate, fabricate, and characterize multiple cryo-CMOS prototypes using advanced CMOS technologies. You will perform measurements in TU Delft’s dedicated cryogenic characterization facilities and gain experience with the complete integrated circuit design cycle, from concept development to experimental validation.
You will work closely with researchers, PhD candidates, and industrial partners active in cryogenic electronics and quantum technologies. Your results will contribute to international research projects and will lead to presentations at leading conferences and publications in high-impact journals.
Deadline : 6 Sep 2026
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(16) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Design Integration of Bio-Inclusive Façade Interventions
The Delft University of Technology (TU Delft) is hiring a doctoral candidate on the topic of “Climate-resilient buildings inspired by nature”.BIO-SKIN is developing a bio-based, waste-derived and circular façade with plant growth. The plants act as an extra layer of insulation and cool the building and its surroundings through shade and water evaporation. In addition, plants improve biodiversity and mitigate other urban challenges. Because the façade is made from bio-based, waste-derived and circular materials, it has a low carbon footprint. In BIO-SKIN, ecologists, materials scientists, industrial designers and lawyers are joining forces. The façade is being iteratively improved in BIO-SKIN via the BIO-SKIN Living Lab on ten existing buildings.
As a PhD candidate you will connect ecology, material choices, circularity, user/stakeholder acceptance, aesthetics, and Living Lab implementation. You will translate ecological, material, circularity, maintenance, aesthetic, and stakeholder requirements into actionable design principles, façade interventions, and a reusable design framework or canvas/toolkit.
The main focus is how ecological, material, circular, maintenance, aesthetic, and stakeholder requirements can be translated into actionable façade design interventions and a reusable design framework.
Deadline : 3 Aug 2026
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Positie Digitaal Vertrouwen
Europa wil digitaal autonoom zijn en koploper worden bij de inzet van digitale technologie, zoals AI in de Europese markt. Een essentiële stap hiertoe is het versterken van digitaal vertrouwen. Zonder digitaal vertrouwen kunnen we sectoren zoals de sociale zekerheid, zorg, financiële diensten en logistiek onvoldoende digitaal transformeren met behulp van nieuwe innovaties. De herziene eIDAS-verordening stelt ambitieuze doelen voor digitaal vertrouwen. In 2026 moeten burgers en bedrijven toegang hebben tot erkende wallets voor veilig inloggen en het gekwalificeerd elektronisch ondertekenen van documenten. Hoewel dit een enorme sprong voorwaarts betekent voor betrouwbare digitale interacties, ontbreken nog de robuuste socio-technische architecturen om dit veilig en op schaal toe te passen. Binnen het Sum Volo-consortium (I am, I want, and I satisfy) bouwen we aan de technische fundering van deze digitale samenleving.
Deadline : 6 Sep 2026
(18) PhD Degree – Fully Funded
PhD position summary/title: Fully Funded PhD Position in Quantum Photonics
Are you motivated to discover the qubits that build the quantum information processing machines of the future? Do you want to embed qubits in scalable systems and help bring quantum technology to real-world applications?
We are seeking PhD’s researchers to work at the interface between color center physics and integrated photonics!
Color centers have proven to be one of the most fruitful platforms in the quantum information era, enabling breakthroughs such as memory-enhanced quantum communication, entanglement-based quantum networks, long-term quantum information storage, and complex quantum simulations. While these demonstrations point to a wide range of applications, critical challenges regarding color center physics and their large-scale integration remain untackled.
As a PhD student in the Errando-Herranz’s group, you will work towards addressing the main challenges in the field by working on experiments involving integrated photonics and color center qubits. You will focus on device design and characterization, delving into the complex physics of color centers, and developing technology based on integrated photonic circuits for quantum applications.
Deadline : 26 Jul 2026
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Position to Help Shape the Future of Reliable, Sustainable Power Electronics
The successful candidate will conduct research within the EU-funded Moore4Power project on health monitoring and predictive reliability of advanced power electronic modules and systems. Location will be in Delft, as a team member of ECTM, in close collabrations with NL and EU industrial partners.
Deadline : 16 Aug 2026
(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Position POLARIS Materials
Thermal management in highly integrated systems like high-performance computing and communication arrays is a large challenge in the electronics industry. When temperature of devices increases their lifetime reduces and thermal trottling can reduce performance. In highly integrated systems, the volume of material to trasnport heat is reduced which requires innovations for effective heat management. Improving the materials used is one of the methods that can be employed for this. Especially nanomaterials are of interest here, as they can potentially outperform bulk materials.
In this project at the faculty of EEMCS, which is part of the growth fund POLARIS, you will investigate innovate nanomaterial solutions for thermal management. The application of the material can be as thermal interface material or by enlabling other heat dissipation pathways. As part of the research, you will synthesize the materials in the EKL cleanroom, create test structures and validate their thermal performance and other relevant materials properties.
The research will take place in the Electronic Components, Technology and Materials section of the Microelectronics Department. Within the consortium, also other academic, research and industrial partners are present with whom there can be opportunities to collaborate.
Deadline : 16 Aug 2026
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Biosensing and Designing for Temporal and Biofabricated Textile Experiences
Our bodies are in constant dialogue with the textiles we wear. But what happens when textiles are no longer static, when they move, respond, grow, and change over time?
This PhD project investigates human experiences of animated textiles, including biofabricated materials and garments that evolve through morphing structures or embedded living organisms. How do we experience such materials against our skin? How do they change in response to our movements and bodily inputs? And what do these dynamic, evolving interactions mean for our wellbeing?
You will develop a novel methodology that combines Materials Experience thinking with biosensing, together with a toolkit, including a sensor-based system, for studying human-material experiences with temporal and biofabricated textiles. You will then apply this methodology and toolkit in user studies to investigate how people perceive, interact with, and adapt to dynamic textile materials over time, advancing methods for studying embodied interactions with emerging material technologies.
As a PhD candidate, you will join the Materialising Futures section within the Faculty of Industrial Design Engineering at TU Delft. Your project will build upon internationally recognised research in Material-Driven Design, Biodesign, Materials Experience, and Temporal and Experiential Characterization of Materials, developed within the research group. You will further expand this body of work by generating new knowledge, methods, and tools, with particular attention to the relationships between material affordances and temporalities, bodily interactions, emotional responses, and human wellbeing. In doing so, you will contribute to advancing material experience approaches for future regenerative textile systems.
This PhD is part of the Horizon Europe project INTERWeuVEN, which explores new approaches to textile design and manufacturing through interdisciplinary collaboration between academic and industrial partners. As a PhD candidate, you will work with 16 academic and industrial partners across Europe and Canada, including lululemon athletica, alongside researchers and practitioners from the wider INTERWeuVEN consortium.
Deadline : 2 Aug 2026
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Thermal Runaway of Batteries
The project Thermal Runaway is a project funded by the Dutch Ministry of Defense. They are interested in the safe and efficient use of batteries as energy storage systems on board of naval vessels. The aim of the project is to avoid thermal runaway of these batteries in ships, because thermal runaway could result in a lot of damage to the battery system, the ship and its crew.
The main research question is: How to design safe battery energy storage system for naval vessels?
Important subquestions are:
– How can the thermal behavior (including the runaway) of batteries be understood and modelled? This includes factors like the load cycles of the batteries, but also possible mechanical damage due to missile impact.
– What can be done to minimize the risk of thermal runaway? This includes factors like the battery chemistry, the containment and the cooling of the battery.
– In case a thermal runaway happens, how can the damaged be minimized?
The research will be a combination of modelling, design and experimental work, and includes understanding of the energy system on board of the ship, the battery chemistry,the cooling system and the mechanical construction and containment.
The research will be carried out in close cooperation with national academic and industrial partners, such as the Netherlands Defense Academy. The PhD researcher will collaborate with the researchers working on the NWO-funded projects Maritime Batteries and SEANERGETIC. The industrial partners will provide excess to use cases and recorded data of state-of-the art zero-emission ships.
The candidate will be part of a team of PhD students working on different aspects of energy transition in the maritime sector. The candidate will work at the Delft University of Technology, in the Department of Maritime & Transport Technology, in the Group Sustainable Drive and Energy Systems under the supervision and guidance of Henk Polinder.
Deadline : 31 Aug 2026
(23) PhD Degree – Fully Funded
PhD position summary/title: 2 PhD positions in Physics‑Informed Machine Learning for Traffic Modelling & Prediction
PhD Position 1 – Hybrid Traffic Flow Modelling
This PhD focuses on developing hybrid traffic flow models that combine physical modelling principles with machine learning approaches, such as Physics-Informed Neural Networks (PINNs) and machine-learning-enhanced traffic models.
You will:
- Develop next-generation hybrid traffic flow models that combine traffic theory with machine learning
- Investigate Physics-Informed Neural Networks (PINNs) and related approaches for network-wide traffic prediction
- Design physically consistent and interpretable machine-learning methods for dynamic traffic systems
- Test and validate prediction models using large-scale real-world traffic data from Dutch freeway networks.
PhD Position 2 – Data Assimilation and Network State Estimation
This PhD focuses on estimating key traffic states and inputs, such as path flows, boundary conditions, and other dynamic network variables.
You will:
- Develop new data assimilation methods for estimating traffic states and network conditions
- Combine machine learning with traffic flow theory to improve prediction reliability and robustness
- Estimate path flows, boundary conditions, and other key inputs for large-scale traffic models
- Design scalable methods for real-time traffic prediction and uncertainty quantification in operational networks.
Deadline : 2 Aug 2026
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Modeling Foot Growth and Deformities in Children with Cerebral Palsy
We are looking for a motivated PhD candidate to join a 4-year research project aimed at advancing our understanding of foot growth and deformities in children with cerebral palsy. In this project, you will develop statistical shape models and finite element models of the growing foot to investigate normal bone development, understand how growth is altered in cerebral palsy, and ultimately support the development of treatment strategies.
You will become part of a multidisciplinary research team and be supervised by Nazli Tümer and Amir Zadpoor at the Department of Biomechanical Engineering at TU Delft, together with Marjolein van der Krogt from the Department of Rehabilitation Medicine, Amsterdam UMC. Thoroughout the project, you will collaborate with clinicians, clinical researchers, and a postdoctoral researcher based at the Department of Rehabilitation Medicine, Amsterdam UMC, who will develop musculoskeletal models in close collaboration with Ajay Seth from the Department of Biomechanical Engineering at TU Delft.
This PhD position is part of the ZonMW-funded project Foot4Thought: Multimodal Modelling to Understand and Prevent Foot Deformities in Cerebral Palsy, offering a unique opportunity to contribute to computational biomechanics with direct clinical relevance.
There are many opportunities for you to grow your academic career through coursework, mentoring BSc/MSc Students, consortium participation, conference presentations, webinars/workshops, and teaching.
Deadline : 27 Jul 2026
(25) PhD Degree – Fully Funded
PhD position summary/title: PhD position Co-creating circular business models and services for e-bikes and home appliances
The Delft University of Technology (TU Delft) is hiring a doctoral candidate on the topic of “Co-creating circular business models and product–service systems (PSS) for consumer behavior change”. Despite growing policy attention and the introduction of new legislation such as Ecodesign for Sustainable Products Regulation (ESPR) and the Right to Repair Directive, household consumption stays locked in a linear “take–make–dispose” pattern. This PhD project will focus on circularity for two product categories in the Netherlands: e-bikes and washing machines. Behavioral data highlights a problematic reality: 43% of users would replace their e-bike if the motor failed, and 23% if the battery failed. 31% of washing machines are discarded while still working.
As a PhD candidate you will co-create market-ready propositions within new business models and PSS, focusing on circularity strategies and behavior-change elements, that are simultaneously attractive to consumers and viable for firms. Your research is anchored in two case studies: e-bikes as the primary case and white goods as a smaller comparative case. E-bikes offer an analytically rich and underexplored setting (more than 450,000 sold yearly in the Netherlands, motors and batteries often lasting far shorter than overall lifetime expectancy of e-bikes), while white goods provide a contrasting case to test transferability across product categories.
Deadline : 23 Aug 2026
(26) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Haptics
The Haptic Interface Technology Lab (HITLab) is seeking an ambitious and motivated Ph.D. student to join our cutting-edge research on the syntesis of the multimodal tactile surface sensations!
In this role, you will:
1) design tactile signals with specific attributes,
2) conduct human-participant experiments to evaluate perceptual responses to the haptic feedback,
3) apply machine learning algorithms to analyze perceptual and physical data.
Beside you will develop your
a) writing and communication skills by publishing in journals and conferences,
b) presentation and networking skills by attending international conferences,
c) leadership skills by co-supervising B.Sc. and M.Sc. students for their projects and improving lab organization, and
d) teaching skills by actively contributing to courses as a teaching assistant.
The Haptic Interface Technology Lab (HITLab) is an interdisciplinary research group led by Dr. Yasemin Vardar at the Human-Robot Interaction Section of the Cognitive Robotics Department of the Delft University of Technology. Our overarching goal is to understand how tactile information translates into human perception and how this information can be effectively simulated in digital environments.
Deadline : 30 Jul 2026
(27) PhD Degree – Fully Funded
PhD position summary/title: Two PhD positions in User-centred Design of Public Transport
Using public transport can feel cumbersome to many people. Making it effortless with all the variety of available services provided is a challenge of technical, service and organisational design. Therefore, we want to hire two PhD candidates to help the sector move forward in this in all three design aspects. Both PhD positions are fully funded for four years and part of the research project ‘Effortless public transport’, in close cooperation with the Dutch public transport authorities, combined in DOVA, which is also funding the studies. Three TU Delft faculties are collaborating with DOVA in this 4.5-year project: Industrial Design Engineering (IDE), Civil Engineering and Geosciences (CEG), and Technology, Policy and Management (TPM).
As a PhD candidate, you will conduct research aimed at making public transport more accessible and making it an obvious choice for travellers, thereby reducing the environmental impact for travel.
We have two open PhD positions, so you will closely work together with the other PhD candidate. Next to that, we expect you to collaborate with several stakeholders, such as public transport operators, local governments and travellers, to conduct field research and experiments.
- Position A is a collaboration between IDE & TPM. In this position, you will study the transition towards public mobility, and what this means for travellers and how to design the governance system. Your supervisors will be Wijnand Veeneman (TPM) and Suzanne Hiemstra-van Mastrigt (IDE).
- Position B is a collaboration between IDE & CEG. Here, you will design and test interventions to convince the ‘not-yet-traveller’ to use public transport, with special attention to key events, such as changing jobs, moving house, or expecting a first child. Your supervisors will be Niels van Oort (CEG) and Suzanne Hiemstra-van Mastrigt (IDE).
Deadline : 17 Aug 2026
(28) PhD Degree – Fully Funded
PhD position summary/title: Twee PhD-posities in Gebruikersgericht Ontwerp van Openbaar Vervoer
Het gebruik van het openbaar vervoer kan voor veel mensen omslachtig aanvoelen. Het vanzelfsprekend maken van het ov, met alle verschillende beschikbare diensten, is een uitdaging op het gebied van technisch, diensten en organisatorisch ontwerp. Daarom willen we twee PhD-kandidaten aannemen om de ov-sector te helpen vooruit te komen op dit gebied, in alle drie de ontwerpaspecten. Beide PhD-posities zijn volledig gefinancierd voor vier jaar en maken deel uit van het onderzoeksproject ‘Vanzelfsprekend openbaar vervoer’, in nauwe samenwerking met de Nederlandse ov-autoriteiten, verenigd in DOVA, dat ook de studies financiert. Drie faculteiten van de TU Delft werken samen met DOVA aan dit 4,5-jarige project: Industrieel Ontwerpen (IO), Civiele Techniek en Geowetenschappen (CiTG) en Techniek, Bestuur en Management (TBM).
Als PhD kandidaat doe je onderzoek gericht op het toegankelijker maken van het openbaar vervoer en het aantrekkelijker maken ervan voor reizigers, waardoor de milieubelasting van reizen wordt verminderd.
We hebben twee open PhD-posities, dus je zult nauw samenwerken met de andere PhD-kandidaat. Daarnaast verwachten we dat je samenwerkt met diverse stakeholders, zoals ov-bedrijven, lokale overheden en reizigers, om veldonderzoek en experimenten uit te voeren.
- Positie A is een samenwerking tussen IO & TBM. In deze functie onderzoek je de transitie naar publieke mobiliteit, wat dit betekent voor reizigers en hoe het bestuursysteem ontworpen kan worden. Je begeleiders zijn Wijnand Veeneman (TBM) en Suzanne Hiemstra-van Mastrigt (IO).
- Positie B is een samenwerking tussen IO en CiTG. Hier ontwerp en test je interventies om de ‘nog-niet-reiziger’ te overtuigen om gebruik te maken van het openbaar vervoer, met speciale aandacht voor belangrijke gebeurtenissen zoals een baanwisseling, verhuizing of de geboorte van een eerste kind. Je begeleiders zijn Niels van Oort (CiTG) en Suzanne Hiemstra-van Mastrigt (IO).
Deadline : 17 Aug 2026
(29) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Nanomedicine Formulation Engineering for Cancer Treatment
SPARC (Scalable Personalized Nanotherapeutics for Cancer Treatment) is an ambitious research program dedicated to making advanced cancer therapies more effective and accessible, particularly for patients with hard-to-treat “cold tumors.” By developing personalized nanomedicines, SPARC aims to improve patient survival through innovations such as tumor-on-a-chip platforms that reduce reliance on animal testing, and novel manufacturing technologies that enhance therapeutic efficacy and product stability.
As part of this program, we are looking for a highly motivated PhD candidate with a strong interest in interdisciplinary research to join a collaborative project between the Precision Therapeutics group (Dr. Alina Rwei) in the Department of Chemical Engineering and the Complex Fluid Processing group (Prof. Johan Padding) in the Department of Process & Energy at Delft University of Technology. The position will be formally embedded within the Precision Therapeutics group.
In this PhD project, you will develop innovative formulation strategies for lipid-based drug delivery nanoparticles, with a particular focus on the design and optimization of externally triggerable lipid nanomedicines. Combining molecular modeling with experimental validation, you will investigate how formulation parameters influence nanoparticle stability, ultrasound triggerability, and biological performance, contributing to the development of precision therapeutic approaches for cancer treatment.
The project is embedded in a strong academic–industrial network and offers close collaboration with leading pharmaceutical partners, including Merck KGaA and Johnson & Johnson. The project also involves close interaction with other research teams within the SPARC consortium, working on molecular mechanisms of nanoparticle purification and storage, as well as engineering solutions for downstream processing.
Deadline : 31 Aug 2026
(30) PhD Degree – Fully Funded
PhD position summary/title: PhD Position (Experimental) Air-Knife Turbulent Jet Impingement on a Liquid Zinc Surface
A 4-year PhD position is available in the research group of Prof. Dr. Sasa Kenjeres at the Department of Chemical Engineering, Delft University of Technology (TU Delft), The Netherlands.
A common method to protect steel against corrosion is the application of a protective zinc layer. This process is called galvanizing. Tata Steel Netherlands currently produces over half a million tons of galvanized steel per year, all of which is produced via the hot-dip galvanizing process. In hot-dip galvanizing, air knives blow a high-velocity gas jet onto a steel strip to control the thickness of the zinc layer. The interaction between the turbulent air jet and the liquid zinc is a potential cause of coating irregularities (waviness) and rejection of the final product. In this project, we will apply combined experimental, theoretical, and computer simulation studies to bring detailed insight into the dynamics of the interactions between the air-jet and the solidifying liquid zinc. A better understanding of these interactions will open new ways to eliminate observed imperfections.
You will focus on the experimental part of the project, which involves the construction and build-up of experimental setups, as well as performing state-of-the-art measurements (PIV-based) of the multi-phase flows. This project is part of the Holland High Tech program, and you will closely collaborate with our industrial partners (M2i, Tata Steel).
Deadline : 2 Aug 2026
(31) PhD Degree – Fully Funded
PhD position summary/title: PhD Position on Effective Chemical Barriers against Rising Damp
Rising damp poses an increasing threat to buildings and their occupants worldwide. In the Netherlands alone, around 150,000 homes are vulnerable to groundwater-related moisture problems, and this number is expected to grow as climate change intensifies.
While chemical damp-proofing treatments are among the most widely used solutions to tackle rising damp, their effectiveness remains inconsistent and poorly understood. Laboratory studies often report promising results, yet field performance frequently falls short.
Why? Because key-questions remain unanswered. How do damp-proofing products spread through porous building materials? What reactions occur within the pore network? Which factors determine whether a treatment succeeds or fails in practice?
As a PhD researcher in the CHEMBARIDA project, you will tackle these fundamental challenges and contribute to the development of more reliable and effective solutions for protecting buildings against rising damp.
Using a unique multiscale research approach, you will investigate chemical damp-proofing treatments across different scales, studying the behaviour of chemical products within building materials and validating the laboratory findings on real masonry structures. You will develop innovative methods to monitor the spreading and reaction of chemical products, identify the variables that influence products performance, and evaluate their effectiveness under realistic conditions. A central objective of your work will be the development and validation of a new laboratory testing protocol, capable of reliably assessing damp-proofing products within practical timeframes, an important step forward for both research and industry.
Deadline : 4 Sep 2026
(32) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in River Basin Hydrology: Climate Change & Hydrological Extremes
Climate change leads to shifts in the magnitudes and timing of precipitation and atmospheric water demand, i.e. potential evaporation. This will directly affect soil moisture, groundwater dynamics and eventually streamflow. In addition, these changes will have cascading effects on vegetation that adapts to new conditions. As vegetation regulates the fraction of available water that is released into the atmosphere as evapotranspiration, these adaptations will feed back and either amplify or moderate the direct effects of climate change on soil moisture, groundwater and streamflow. These feedbacks and their effects on extreme events, such as floods and droughts but also on seasonal water supply are poorly understood and not accounted for in current-generation hydrological models.
The PhD research project will address these issues for more reliable hydrological predictions with a focus on the Rhine-Meuse river basin, aiming (1) to quantify natural vegetation adaptation to a changing climate, (2) to further develop the wFlow-SBM hydrological model to account for these changes with a time-variable vegetation parametrization and to (3) use this model to quantify and analyze the effects of changing vegetation on predictions of soil moisture, groundwater and streamflow under a changing climate in the Rhine-Meuse system.
In this project you will work in close collaboration with Rijkswaterstaat RWS (Dutch Ministry of Infrastructure and Water Management) and the industry project partner Deltares. At TU Delft, you will be hosted by the Water Management Department in the Faculty of Civil Engineering and Geosciences and the supervision team at TU Delft will be led by Prof. Markus Hrachowitz.
Deadline : 9 Aug 2026
(33) PhD Degree – Fully Funded
PhD position summary/title: Phd Position Multi-Agent Aerial Manipulation for Construction
PhD #1: Multi-Agent Planning and Control for Cable-Suspended Aerial Multi-Lifting Systems
Cable-suspended Aerial Multi-Lifting systems (CAMLs) are composed of several UAVs that lift and control the orientation of the pre-fabricated building components through cables. You will investigate multi-agent planning, learning and control methods to enable decentralized, robust, and precise aerial manipulation with CAMLs. The goal is to allow existing UAV platforms to operate in a scalable and decentralized manner while achieving obstacle avoidance using onboard sensing and adapting to changes in dynamic environments. In parallel to the theoretical and algorithmic developments, you will work closely with the other PhD, postdocs, engineers in the lab, and other collaborators from TUM and ETH, to establish a digital twin for construction, and optimize CAML hardware platforms for the precise manipulation of prefabricated building components. You will also collaborate with FlyingBasket to validate the heavy-lifting system. In the final HARPA demonstration, you will be responsible for the CAML platform and its collaboration with aerial robotic manipulator platforms.
PhD #2: Contact-Aware Planning and Control for Aerial Robotic Manipulators
You will investigate contact-aware planning, control, and perception methods for aerial robotic manipulators (ARMs). These aerial manipulators will act as “flying hands” to support the connection and assembly of prefabricated building components. You will explore how learning-based methods, such as imitation learning and reinforcement learning, can be integrated with model-based low-level controllers and multimodal sensing to enable contact-rich aerial manipulation in unstructured and dynamic environments, particularly in close proximity to objects. The developed algorithms will be validated through real-world experiments that enable multiple ARMs to work together with CAMLs for construction tasks. In addition, you will contribute to the design and optimization of aerial manipulation hardware platforms, supported by engineers in the lab, as well as to the development of digital twin platforms for simulation and pre-assembly validation. Finally, you will contribute to the final demonstration of pavilion assembly.
Deadline : 2 Aug 2026
(34) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Two-Phase Flow of Cryogenic Hydrogen
Hydrogen is one of the most promising energy carriers and fuels for future sustainable aviation. As it flows from storage to the engine, the cryogenic liquid evaporates, creating a two-phase mixture that affects hydrogen distribution, as well as active components along the line, such as heat exchangers and valves.
Understanding and predicting the hydrogen flow and thermal behaviour is essential before such systems can be deployed.
As a PhD candidate in the Propulsion & Power group at TU Delft, you will tackle this challenge through advanced experimental and analytical investigations, focusing on how two-phase flow develops along cryogenics distribution lines.
The project is primarily experimental. You will help commission a new cryogenic test facility that is currently being developed in collaboration with the team, and run advanced experiments for investigating cryogenics two-phase flow. A second objective is to build cryogenic sensors for heat and flow measurements, in collaboration with the Von Karman Institute (VKI, Belgium).
You will join the Propulsion & Power group, that combines expertise in thermodynamics, heat transfer and turbomachinery. Your supervisors will guide you while giving you the room to shape your own research, and you will get the support and training you need to grow as an independent researcher.
Deadline : 10 Aug 2026
(35) PhD Degree – Fully Funded
PhD position summary/title: PhD Position for Identification of Structure-function Relationships in Methanogenic Microbiomes
Anaerobic microbiomes are playing a crucial role in our society ranging from food fermentations, via the intestinal track towards waste bioprocessing in anaerobic digestors. In anaerobic microbiomes substrates are converted to a diverse array of products in an extremely complex network of different microorganisms that cooperate to establish the conversions observed. Depending on the conditions imposed, different product formation pathways are established involving different guilds of microorganisms. The objective of this project is to unravel the role of the different microorganisms in the microbiome to eventually obtain a quantitative description of the overall process. We have established an experimental infrastructure (UNLOCK) that enables paralelized high resolution phenotypic characterisation of microbiomes in bioreactors. Phenotypic characterisation will be combined with genotypic characterisation of the microbiomes in collaboration with our UNLOCK partners in Wageningen.
This project combines laboratory bioreactor experiments with data processing and process modeling to obtain a quantitative description of the process as a resultant of the different guild of microorganisms involved. Consequently, besides a clear affinity with laboratory experiments and microbial communities, a strong data and computational/modeling background is desirable. The modeling framework that will be established in this project will contribute to a wide range of societal developments that depend on the understanding and control of anaerobic microbiomes.
Deadline : 16 Aug 2026
(36) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Projection System for TE Imaging in Scanning Electron Microscope (SEM)
Scanning Electron Microscopy (SEM) is one of the most widely used imaging tools in nanoscience, materials research, semiconductor manufacturing, and the life sciences. Despite its wide applications and accessibility, the highest spatial resolution is still obtained through transmission electron (TE) imaging, which can only be done through a large, expensive, and highly specialized (Scanning) Transmission Electron Microscopes ((S)TEM). The aim of this project is to “democratize” this imaging technique by bringing transformative TE techniques, including electron diffraction, low-energy STEM, and phase-contrast imaging, to compact, affordable, and widely accessible SEM platforms.
As a PhD candidate at TU Delft, you will work closely with our industrial partner Delmic, a world-leading company in correlative and multimodal microscopy, to develop a proof-of-concept transmission electron projection column based on miniaturized electron-optical components. The ambition is to create a compact, cost-effective projection system that can be integrated into conventional SEMs, enabling high-resolution transmission imaging alongside complementary modalities such as light microscopy, cathodoluminescence, and focused ion beam processing. By combining the strengths of multiple imaging techniques within a single instrument, this technology has the potential to significantly expand the capabilities and accessibility of electron microscopy.
Working at the intersection of electron optics, MEMS technology, microscopy instrumentation, and imaging physics, you will design, simulate, fabricate, and experimentally validate a novel MEMS-based transmission electron projection column integrated inside an SEM. The project combines theoretical modelling, numerical simulations, hardware development, precision engineering, and experimental validation, providing a unique opportunity to contribute to the development of next-generation electron microscopy instrumentation.
The four-year research programme is organized into three main phases. During the first phase, you will develop analytical and numerical models describing the electron optics of the projection column and optimize its performance through large-scale simulations. You will use commercial electron-optical simulation software but also develop custom Python-based modelling tools developed within the project. Your research will be supported by access to DelftBlue, TU Delft’s state-of-the-art high-performance computing infrastructure, enabling computationally intensive simulations and optimization. In the second phase, you will work closely with our experienced technical staff to design and realize the electron-optical components. Depending on the final design, these components will be fabricated using advanced MEMS technology, high-precision machining, or a combination of both. You will gain hands-on experience with state-of-the-art microfabrication and cleanroom facilities, while also contributing to the development of the associated electronics, vacuum hardware, and experimental instrumentation required for the prototype. The final phase focuses on assembling, testing, and validating the prototype inside an SEM. You will compare experimental measurements with numerical predictions to validate the physical models and further optimize the instrument design.
Deadline : 24 Aug 2026
(37) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Operational Performance of Antenna Arrays in Presence of Heterogeneous Environment
The key open challenge in the current state-of-art, is to predict operational radiation patterns of antenna array including the impact of environment. As this particular PhD project is focused on operational performance of antenna arrays in case of the surface duct presence, the objective of this PhD project is to develop procedure to reconstruct the surface duct properties using external transmitters of opportunities and predict realistic radiation of ship-based antenna arrays within such environment. Both the surface duct impact on the naval radar operation and usage of the developed procedure to predict radar operation will be studied.
From a methodological perspective, the above research challenges will be tackled through a mix of theory, algorithm design, and analysis of experimental data, partly collected by the applicant and partly acquired through external collaborations with top-level research partners in Europe.
Deadline : 31 Jul 2026
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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