Are you holding Master’s degree and looking for fully funded PhD positions? University of Twente, Netherlands invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in IC Design group
Summary of PhD Program:
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.
Application Deadline: 31 Dec 2024
2. Fully Funded PhD Position in Machine Learning for Green Credit Scores
Summary of PhD Program:
The goal is to resolve how financial settings can adapt practices or propose solutions for designing green credit scoring models. This will facilitate improved access to investment and credit, thereby promoting fair and sustainable economic growth. You will be a member of the MSCA Industrial Doctoral Network on Digital Finance, a European Research and Training programme with several leading European universities and companies involved, such as the European Central Bank and the Bank for International Settlements. You will attend several European PhD courses and participate in extended research stays abroad.
Application Deadline: 30 Sep 2024
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3. Fully Funded PhD Position in Machine Learning for Digital Finance
Summary of PhD Program:
In your project, you will do research on and apply machine learning techniques to make a real-world impact in academia and at financial institutions. A potential research topic is the design of an intelligent search bot that maximises AI technologies to improve the accessibility and user experience of public data portals. Further research will focus on ML techniques and NLP to improve supervisory technology (Suptech) methods. Both topics are relevant and of interest to the ECB and BIS, e.g. as part of their tool Olympus, that provides support in various areas, such as advanced analytics, process automation and digital collaboration.
Application Deadline: 30 Sep 2024
4. Fully Funded PhD Position in designing a recommender system for sustainable investments
Summary of PhD Program:
During the project, you will closely collaborate with industry and a doctoral training network spread throughout Europe, including extended research stays abroad. The successful applicant will join the Industrial Engineering and Business Information Systems (IEBIS) section of the High-tech Business & Entrepreneurship Department (HBE) at the Faculty of Behavioural Management and Social Sciences (BMS).
Application Deadline: 30 Sep 2024
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5. Fully Funded PhD Position in Advanced Optics and Spectroscopy for daycare Arthroscopic Imaging
Summary of PhD Program:
The PhD’s objective is to advance the functionality of the current imaging needle ‘arthroscope’ by integrating advanced optical imaging and spectroscopic techniques to maximize information retrieval through minimally invasive portals. The PhD will play a role in the technical development of hardware of the diagnostic tool and complementary documentation to allow future clinical investigation, as well in the advancement of processing algorithms to transfer the raw data information to meaningful outcomes for the clinicians. These developments will have an iterative nature with technical and in vivo human samples evaluation to assess the advancements objectively.
Application Deadline: 15 Oct 2024
6. Fully Funded PhD Position in Modeling of smart additive-manufacturing processes
Summary of PhD Program:
This is a joint project between the University of Twente and the University of Applied Sciences Saxion, combining expertise from fundamental science, granular material modeling, software development, calibration, creative design, and concrete printing. You will work closely together with a Postdoc, who will be responsible for developing the digital twin environment, while you will focus on developing the physical twins of the mixing and printing processes. Together, you will work on creating a comprehensive virtual twin for these processes. Supporting this position is an academic team consisting of two PhD supervisors as well as additional academic staff members with expertise that covers modeling, programming and experimentation.
Application Deadline: 31 Oct 2024
7. Fully Funded PhD Position in Algorithmic Energy Trading
Summary of PhD Program:
The PhD research will be performed as part of an industry funded project on algorithmic energy trading. The goal of this project is to conceive, develop, and evaluate self-learning algorithms that are able to act autonomously on short-term power markets. The algorithms need to calculate intelligent trading decisions (buying and selling energy) in real time while being exposed to a stochastic and dynamic market environment. Designing such algorithms requires working at the intersection of statistical learning and mathematical optimization. Evaluating such algorithms requires close interaction with our industrial project partner from the energy sector. Concretely, the PhD candidate will perform research on understanding how self-learning algorithms can facilitate automated trading on short-term power markets.
Application Deadline: 30 Sep 2024
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8. Fully Funded PhD Position in Trustworthy Analysis of Stochastic Timed Systems
Summary of PhD Program:
We offer two Ph.D. positions within the TruSTy project on “Trustworthy Analysis of Stochastic Timed Systems” funded by NWO, the Dutch Research Council. The project’s goal is to create new highly-reliable approaches – languages, algorithms, and tools – for the modelling and analysis of complex systems subject to uncertainty. The project’s mathematical foundations are extensions of continuous-time Markov chains and Markov decision processes. Its approach is the development of sound, fast, and provably correct algorithms with the assistance of interactive theorem provers.
Application Deadline: 31 Jan 2025
9. Fully Funded PhD Position in Quantitative Analysis of Impact Investing
Summary of PhD Program:
The PhD project is part of a network of 15 doctoral theses that all contribute to the overall goal of understanding social entrepreneurship (SE) scaling. This particular PhD thesis is part of the work package on “Impact Investing for Social Entrepreneurship Scaling”. The position is focused on quantitatively assessing the impact of hybrid financing strategies, Schumpeterian ‘creative destruction’ logics, and impact fidelity on the scaling of social enterprises. This research will involve a systematic literature review of empirical papers on SE scaling and impact investing, followed by developing measures to quantitatively test these factors through a cross-sectional survey of impact investors.
Application Deadline: 1 Oct 2024
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10. Fully Funded PhD Position in Model-Based Testing for Evidence-Driven Black-Box Checking
Summary of PhD Program:
Nowadays so much new and complex software is being developed that there are by far not enough specialists to test this software properly. As a result, companies need more time/resources to develop software, and their products (which we all use) may contain critical bugs. In this project, we investigate methods for automatic software testing. In test automation, model-based testing is the state-of-the-art technique, where tests are generated fully automatically from a model (typically a state-transition system), and then executed on the software system.
Application Deadline: 6 Oct 2024
11. Fully Funded PhD Position in hardware security and FPGA design
Summary of PhD Program:
Public-key cryptography is vulnerable to mathematical attacks by quantum computers. Governments are encouraging organizations to adopt new post-quantum cryptography algorithms to secure critical infrastructure. However, these new algorithms are still susceptible to physical attacks, while current testing infrastructures to assess their resistance to physical attacks sacrifice quality for run time. This project investigates new methods inspired by genomics (to improve quality) in combination with digital hardware design (to reduce run time) to thoroughly evaluate the security of post-quantum protected implementations against deep-learning-based side-channel analysis.
Application Deadline: 29 Sep 2024
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12. Fully Funded PhD Position in Sustainable adoption of AM in underserved communities
Summary of PhD Program:
Through scientific and engineering research, as well as real-world case studies, you will develop a framework and strategies for the sustainable and long-term adoption of AM in underserved communities, making a tangible impact on global challenges. The development and validation of the framework is expected to be supported by case studies focusing on redesign, realization and validation of 3D printing technologies for underserved countries. The validation will have a strong focus on exploration of the social dynamics in the target communities with the developed technologies and methodologies to ensure sustainable adoption of the printing technology.
Application Deadline: 30 Sep 2024
13. Fully Funded PhD Position in Assessing the interplay between wind farms and clouds
Summary of PhD Program:
This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation strategies for wind farm flows. Your research will develop novel LES to investigate the interaction among clouds on wind farm performance and atmospheric transport processes. This presents an opportunity to push the boundaries of fundamental fluid and atmospheric dynamics, enhance wind farm efficiency, and deepen our understanding of their interaction with the atmosphere. Join us in pushing the boundaries of wind energy fluid mechanics research!
Application Deadline: 30 Sep 2024
14. Fully Funded PhD Position in Pioneering simulations of offshore wind farm turbulence
Summary of PhD Program:
This PhD project, integral to the ERC consolidator WINDFLOW project, is dedicated to the development and application of novel large-eddy simulation techniques. Your research will illuminate the intricate dynamics between wind and waves, assessing their influence on the efficiency of offshore wind farms. This is a chance to advance knowledge in renewable energy and make a significant contribution to improving wind farm efficiency. Join us in shaping the future of sustainable energy.
Application Deadline: 30 Sep 2024
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15. Fully Funded PhD Position in Development of a work-place curriculum for the efficient training
Summary of PhD Program:
This project aims at effective up- and reskilling of heat pump installers through the development of a technology-enhanced workplace learning curriculum. The ideal candidate should possess an interest in co-creating knowledge and solutions with future installers, their companies and the project partners, such as RWTH Aachen University and the European Heat Pump Association. This endeavour requires combining scientific rigor with a participatory design approach to make conceptual and practical contributions to an educational challenge in the energy transition.
Application Deadline: 30 Sep 2024
16. Fully Funded PhD Position in Large-scale impact of wind farms on atmospheric flow
Summary of PhD Program:
This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation strategies for wind farm flows. Your research will develop a fundamental understanding of wind farms’ large-scale impact on moisture transport, atmospheric stability, cloud dynamics, turbulent transport within the atmosphere, and the interactions between wind farms. This project represents an opportunity for us to advance our collective knowledge of fluid and atmospheric dynamics relevant to wind energy. Join us in pushing the boundaries of wind energy fluid mechanics research!
Application Deadline: 30 Sep 2024
17. Fully Funded PhD Position in Large-scale weather effects in wind farm simulations
Summary of PhD Program:
This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop groundbreaking large-eddy simulation strategies for wind farm flows. Joining our team means contributing to a vital area of research. This PhD opportunity allows you to enhance your understanding of fundamental fluid and atmospheric dynamics while developing simulation technologies. Our aim is to create innovative simulation strategies enabling simulations with unparalleled detail. Join us in advancing the frontiers of wind energy research!
Application Deadline: 30 Sep 2024
18. Fully Funded PhD Position in measuring social interaction, physical activity, and sense of belonging i
Summary of PhD Program:
In this project you will bring this approach to high schools, to better understand the lived experience of high school students. You will especially focus on how vulnerable youth such as students with autism experience their school environment. By analysing the data through machine learning approaches, you will develop a system that can help schools see the weaknesses in their school environment, and predict the effect of possible interventions to improve the environment.
Application Deadline: 14 Oct 2024
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19. Fully Funded PhD Position in Explainable Incident Response — TUCCR
Summary of PhD Program:
The objective of this PhD project is to create ‘AI-assisted practitioners’ for incident response by developing novel human-in-the-loop ML algorithms that reduce analyst workload and provide decision-making assistance. We propose to develop explainable ML algorithms that summarize large volumes of observable data (intrusion alerts, network & system logs) to discover contextually meaningful patterns from them. The student will conduct fundamental research and explore various learning paradigms to develop actionable explanations from these discovered patterns that are tailored to the operator’s expertise.
Application Deadline: 6 Oct 2024
20. Fully Funded PhD Position in Transitioning public organizations for future-proof infrastructure
Summary of PhD Program:
This PhD project aims to develop organisational principles and action perspectives to help infrastructure agencies that maintain our roads, bridges, waterways, electricity networks and railways adapt to these emerging challenges. The PhD candidate will focus on bridging the gap between mission-oriented policies, organisational strategies and project practices,. They will work across multiple levels, studying how infrastructure administrators handle uncertainty and complexity at the organisational and inter-organisational level.
Application Deadline: 14 Oct 2024
21. Fully Funded PhD Position in Multiscale characterization and modeling of silica aerogel-rubber composites
Summary of PhD Program:
Silica aerogel is a porous ultralight material class known for its unique properties like low density, low thermal conductivity and high specific surface area. Classical silica aerogels can be prepared in the form of monoliths, boards, or granules. Given their fragile nature, granules are often preferred for application purposes. Embedding these aerogel granules as a filler in hyperelastic elastomers can potentially result in outstanding properties, where the thermal properties could be driven by the aerogel granules and the elastomeric matrix would then dictate the mechanical stability and high elasticity, thus achieving simultaneously high reinforcement and low hysteresis. Using the measured data to develop a multiscale model would better our understanding and predict the potential of such a composite towards future applications.
