University of Twente, 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 University of Twente, Netherlands.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD position on Physiological-Model-Based Artificial Intelligence for the recovery monitoring of elderly after hip fracture surgery
This PhD position will focus on the health monitoring system development mainly based on multimodal physiological signals, for instance, inertial measurement unit (IMU), electrocardiography (ECG), photoplethysmogram (PPG), Electrodermal activity (EDA), and contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies to assess patients’ recovery process, detect or even predict the occurrence of clinical adverse events like delirium, cardiac arrhythmias and pneumonia among elderly after hip fracture surgery. To obtain relevant data for the above described technology development and its feasibility test, the PhD candidate will also design medical research experimental protocol for both healthy control population and target patient population, apply for the protocol’s ethical approval (please check this website for more information about the relevant ethical regulations and approval process in the Netherlands), and take main responsibilities for performing the approved experiment.
Deadline : 29 Sep 2025
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD position – Green and safe routing for Cyclists
This four-year PhD project is part of Horizon Europe project Bio-Intel-Mob. The project focuses on integrating sustainable mobility and logistics with intelligent solutions for safe, smart, green, resilient, and inclusive cities, with pilot demonstrations in Rome, Cascais, Riga, Vilnius, Melsungen, Ciampino, Urla and Rhodes.
The PhD project will involve:
- The use of data analytics (statistical models, machine learning, uncertainty quantification) to monitor and predict cycling travel conditions from various perspectives (safety, crowding, travel time, comfort, etc.). Therefore, various data sources including real-time traffic counts from inductive loop detectors, GPS traces, maintenance information and crowd-sourced data need to be combined.
- Learning personal mobility patterns, e.g., using space-time clustering techniques. Identify patterns based on observed travel behavior, and relate patterns to real-time and predicted travel conditions to recognize and predict events that may impact the trip of an individual.
- Developing a method for multi-objective, personalized (re)routing, i.e., generating routes and offering route suggestions based on mobility behavior, travel conditions, trip characteristics, and user preferences. Defined routes trade-off multiple criteria, where the exact importance of each objective is user dependent, and can be learned and improved over time based on previous choices and feedback.
Deadline : 3 Oct 2025
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD position on Memristive Smart Materials for Information Processing
This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the NanoElectronics (NE) group at the University of Twente and the Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart materials that combine memory and learning directly within their structure, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving efficiency. Partnering with Toyota and Demcon TSST, SMIP will showcase this innovation through a self-learning chip prototype, improving performance and durability in automotive applications.
Specifically, this PhD project focuses on memristive materials as electronic realizations of the hysteron concept at the heart of the SMIP project. A hysteron is characterized by a hysteretic current-voltage characteristic; thereby, its response depends critically on its history. You will work on conceptualizing, fabricating, and characterizing effective memristive devices, with the goal of forming device networks for realizing the physical learning paradigm developed at AMOLF. You will integrate these memristive devices with the reconfigurable nonlinear processing units (RNPUs) developed in the NE partner group to harness the full richness of both material platforms.
Deadline : 30 Sep 2025
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Algorithmic Energy Trading
In recent years, the energy sector has undergone changes that have a high impact on the dynamics in power markets. One of the changes has been the shift towards energy production from intermittent sources, such as wind and solar. As a consequence of this shift, the amounts of energy that are traded at the short-term markets throughout a day are uncertain, as they depend on hardly predictable weather conditions.
This uncertainty increases the volatility of short-term energy prices, and thus makes it much more challenging to make economically viable energy trading decisions. One way to respond to this challenge is to leverage assets such as grid-level battery storage, and electrolyzers to have more flexibility when making trading decisions. The challenge then is how to optimally leverage such an asset to make viable trading decisions under high price volatility.
This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By leveraging real-time data, developed algorithms continuously adapt to market dynamics and respond to changing market signals with economically viable trading decisions.
Within this project, you will have the opportunity to work not only with colleagues at the HBE department of the University of Twente, but also with researchers and energy traders from our industrial partner in the energy sector, including the opportunity for regular visits to our partner’s trading floor.
Deadline : 30 Sep 2025
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD positions (3x) on RF/Microwave Gallium Nitride (GaN) MMIC design and test
Gallium Nitride: covering the entire chain from device modelling and characterisation, MMIC design up to phased-array implementations (3 vacancies)
With its partners, the University of Twente founded POLARIS, a programme running under the Dutch National Growth Fund (NGF). It realises breakthroughs in the creation and manufacturing of complex micro-electronic Radio Frequency (RF) systems that enable The Netherlands to extend its leading position, both in a technological as well as an economic sense.
The programme focuses on medical, defence and communication applications.
One of the many activities in the POLARIS programme addresses research on GaN Microwave Monolithic Integrated Circuits (MMICs); research on this will be performed in close co-operation between the University of Twente and TNO.
You will be investigating the design of GaN HEMT MMICs in one of three positions.
Depending on your background, the work will 1) focus on the interaction between microwave design and measurement methods, looking deep into the technological capabilities of GaN, or 2) focus on new methods of integrating microwave components mapping design techniques from other technologies onto GaN technology, or 3) focus on novel methods for robust very high power amplifiers.
Deadline : 29 Sep 2025
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Position SPINES: Modelling Tipping Dynamics in Infrastructure Use
Are you keen on supporting the future development of reliable but also sustainable infrastructure? Do you like simulation models to understand complex socio-technical systems? Are you ready to challenge and develop yourself in a cross-sector collaboration with infrastructure providers and societal partners? If you do so, you are our right candidate for this position.
Deadline : 30 Sep 2025
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD position AMBITIONS: accelerating transitions by navigating values in the built environment
This multidisciplinary PhD project aims to generate the necessary knowledge and tools to equip local decisionmakers to better deal with conflicting values in parallel transitions and requires an interest in both theory development and engagement with practice. The PhD position is part of the larger AMBITIONS project involving TU Delft, Utrecht University, and Avans Hogeschool, working together with public and private stakeholders in the built environment, including ministries, municipalities, consultancies, and network organizations that have a similar aim. Accordingly, the PhD candidate will work closely with both other academics and practitioners to increase the understanding of the transition processes in practice and develop ways to better govern the collection of transitions. This research setting builds on knowledge and theories at the intersection of innovation studies, construction management, and public management with many opportunities to collaborate with other research fields related to, for instance, responsible innovation, innovation policy, and transition studies. We are hence looking for a candidate that not only wants to apply engaged qualitative research approaches, but also really impacts practice to contribute to a future-proof built environment.
Deadline : 30 Sep 2025
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD position on Assessing DNS Dependencies at Scale
The Domain Name System (DNS) plays a central role in the Internet’s infrastructure. Its distributed nature has enabled global scalability, but it also introduces risks that undermine resilience. Delegations in the DNS namespace form long and often opaque supply chains, increasing the attack surface and introducing potential single points of failure.
In today’s landscape, many organizations rely on third-party DNS services without full visibility into what lies beneath. These managed services often depend on other providers, recursively forming complex supply chains that are difficult to analyze. As a result, operators may unknowingly introduce technical, operational, and regulatory risks – especially in critical domains such as e-government, healthcare, and finance – where compliance with frameworks like NIS2 and DORA is increasingly more essential.
This project aims to analyze and map these hidden dependencies from a technical and scientific perspective. The Ph.D. candidate will develop methods for uncovering DNS infrastructure dependencies at scale, relying on active measurements and graph-based analysis. The focus will be on designing reproducible techniques for identifying dependency structures, validating these methods through large-scale experimentation, and evaluating how well DNS configurations align with recommended best practices.
Deadline : 14 Sep 2025
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Numerical Modeling of Thermo-Mechanical Effects for High-Performance Mechatronics
A PhD position is available at the chair of Precision Engineering at the Faculty of Engineering Technology of the University of Twente.
In high-tech domains such as semicon, healthcare, and space, performance is increasingly limited by thermally induced deformations. While passive and active compensation methods exist, thermal effects must be addressed during early-stage design. This calls for advanced modeling techniques that capture thermo-elastic interactions with high fidelity. In this PhD, you will help develop these next-generation tools.
We are seeking a highly motivated PhD candidate to strengthen our research. Your research will focus on the development of numerical simulation techniques based on finite element and multibody dynamics formulations. Your tasks involve developing new elements tailored to the multi-physical effects seen in high-performance mechatronics systems, focussing on the inclusion of thermal aspects. You can leverage a large body of existing research and software for the efficient simulation of complex geometrically nonlinear mechanical elastic structures. Other aspects of the research include a numerical framework for the sensitivity analysis to facilitate design optimization and experimental system identification.
Deadline : 20 Sep 2025
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD position on Stochastic geometric numerical methods
Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic dynamical systems, with applications ranging from plasma physics and molecular dynamics to advanced simulations for sustainable energy research.
We are looking for a motivated and ambitious PhD candidate to join the Mathematics of Computational Science (MACS) group within the Department of Applied Mathematics at the University of Twente. The successful candidate will work under the supervision of Dr. Tomasz Tyranowski on a project dedicated to advancing the field of stochastic geometric integration.
The project focuses on the development and analysis of novel structure-preserving numerical algorithms for stochastic dynamical systems, particularly stochastic Hamiltonian systems. These methods are designed to retain the intrinsic geometric properties of the underlying equations, ensuring stability and accuracy in long-time simulations. The research combines fundamental mathematical theory with applications in areas such as plasma physics, molecular dynamics, and medical physics. In particular, the work contributes to improving large-scale plasma simulations that are essential for the design and optimization of nuclear fusion devices, a key step toward future sustainable energy technologies.
Deadline : 30 Sep 2025
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD position VIA PRUDENTI – Collaborative Infrastructure and Asset Management Practices
Society is facing major challenges like labour and material scarcity, digitalisation and climate adaptation. These challenges have a significant impact on our built environment and the actors that operate in this field. Addressing these challenges requires a fundamental change in how public organisations operate and coordinate themselves and their relations with private parties in the construction industry.
This PhD project aims to experiment with unique shared service centres to coordinate and conduct asset management and maintenance activities across infrastructure networks in the Netherlands. Together with our research partners from Next Generation Infrastructure network, the PhD candidate will be in the lead to develop organisational principles and action perspectives that help infrastructure agencies to collaboratively maintain our roads, bridges, waterways, electricity networks and railways.
As part of the larger NWO funded VIA PRUDENTI project, we will truly experiment with working towards a resilient and smart infrastructure sector by co-creating integrated service delivery solutions across infrastructure networks, studying how infrastructure administrators handle uncertainty and complexity across multiple organisational levels when managing their infrastructure assets.
Deadline : 14 Sep 2025
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(12) PhD Degree – Fully Funded
PhD position summary/title: PHD POSITION ON MULTILAYER GROWTH OPTIMIZATION BY HYBRID X-RAY METROLOGY (MOXY
Nanometer-thin films are enabling factors in many advanced technology fields such as photovoltaics, wear resistance, optics, and many more. Due to their thickness often being only a few nm or even below, one major challenge in designing and improving thin film devices is characterizing the properties of the synthesized nanometer thin films and their interaction with neighboring layers and their environment. In particular for complex structures such as multi-layers of alternating materials, it becomes a real challenge to uniquely extract information on their layer properties in order to understand and improve their performance.
A way to “break the nanometric barrier” for structure analysis is to combine multiple techniques, picking those that complement each other. In particular the use of non-destructive techniques is important, avoiding unintentional sample modifications. Although such “hybrid” analysis should in principle be able to extract information beyond the limits of current techniques, its development is still in an early phase. There is a still need to develop reliable ways to robustly reconstruct the structural models, with an emphasis on picking and combining the right techniques, as well as quantifying the uniqueness of information obtained.
Deadline : 15 Sep 2025
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD position in IC Design group
Professor Bram Nauta’s Integrated Circuit Design (ICD) group focuses on various aspects of analog and Radio Frequency (RF) Integrated Circuits (IC). The group’s motto is “fundamental solutions for practical problems” and under this vision, it has contributed many fundamental new ideas in circuit design. The IC Design group has made high-impact inventions in analog filters, thermal noise cancelling amplifiers, ultra-low power analog to digital converters, software-defined radio, mixer-first receivers, N-path filters and sub-sampling phase locked loops. The group is a world leader and initiator of many new research directions which also find their application in industrial products. The group has a strong collaboration with the global semiconductor industry.
Deadline : 31 Dec 2025
About The University of Twente, Netherlands – Official Website
The University of Twente (Dutch: Universiteit Twente [ynivɛrsiˌtɛi(t) ˈtʋɛntə]; abbr. UT) is a public technical university located in Enschede, Netherlands. The university has been placed in the top 170 universities in the world by multiple central ranking tables. In addition, the UT was ranked the best technical university in the Netherlands by Keuzegids Universiteiten, the most significant national university ranking. The UT collaborates with Delft University of Technology, Eindhoven University of Technology and the Wageningen University and Research Centre under the umbrella of 4TU and is also a partner in the European Consortium of Innovative Universities (ECIU).
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