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11 PhD Programs – Fully Funded at University of Twente, Netherlands

Do you have a Master’s degree and are looking for fully funded PhD opportunities? University of Twente, Netherlands is now accepting applications for several funded PhD programs across a range of research areas.

1. Fully Funded PhD in IC Design group

Summary of Funded PhD Program

The University of Twente (UT) is located in the east of the Netherlands. It offers a dynamic campus, excellent facilities and the possibility to work in- and with- famous research groups. 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.

Application Deadline: 31 Dec 2024

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2. Fully Funded PhD in Modeling of smart additive-manufacturing processes for high-performance

Summary of Funded 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.

Application Deadline: 31 Oct 2024

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3. 02 Fully Funded PhD in Recycling Process Analysis of Thermoplastic Composites

Summary of Funded PhD Program

The FibReLoop Doctoral Network strives to promote the industrial implementation of circular economy strategies for composites. Fourteen doctoral candidates will be trained at various institutions throughout Europe to address the recycling of a composite part all the way to the design and production of new recycled components. The topics include the evaluation, improvement, and development of current or new recycling technologies; the experimental assessment of the behaviour of the recycled materials; the development of material models and design approaches for recycled composites and parts; and the implementation of these materials circular economic practices into real-life industrial cases. 

Application Deadline: 20 Oct 2024

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4. Fully Funded PhD in Disaster responses in near real time from UAV and SAR satellite data

Summary of Funded PhD Program

Multitemporal Synthetic Aperture Radar (SAR) images contain important information well-established for structural stability or health monitoring. Such technologies, like SAR interferometry (InSAR) and SAR tomography (TomoSAR), can provide information on urban structure elevation and subtle deformations or stability issues. This information, however, is often sparse in time or space as it relies on identifying coherent scatterers. The use of AI and quantum computing to integrate SAR-derived products with real-time UAV optical data can offer reliable recommendations to prioritize areas where first responders are needed.

Application Deadline: 20 Oct 2024

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5. Fully Funded PhD in Pioneering Smart Materials for Advanced Thermal Energy Storage Solutions

Summary of Funded PhD Program

This PhD position focuses on the development and optimization of smart materials and their integration into innovative thermal energy storage (TES) systems, specifically designed for next-generation heat batteries. The aim is to engineer materials that efficiently store and release thermal energy with enhanced control mechanisms. This research aims to optimize heat release for flexible applications in both residential and industrial energy systems.

Application Deadline: 30 Oct 2024

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6. Fully Funded PhD in Neuro-symobolic AI for microfabricated fluidic sensors

Summary of Funded PhD Program

While a new generation of integrated sensor systems has been developed fast last years, it is now a necessity to explore recent work in symbolic Artificial Intelligence (AI) to overcome these limitations and allow for real-time fluid data processing by using a combination of deep neural networks and physics in flow sensing. By embedding human knowledge of physical quantities into deep neural networks, AI would be able to learn quicker and better how to use the sensing structures on the chip to give a physically relevant output signal. Using deep symbolic AI on microfluidic sensor data is therefore expected to cause a breakthrough in the easy design and use of cutting-edge multiparameter sensing systems

Application Deadline: 30 Nov 2024

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7. Fully Funded PhD in stage-based design approaches for meaningful technologies 

Summary of Funded PhD Program

This PhD research will address the health-related challenges individuals encounter at various stages throughout the progression of their health condition. Many health conditions typically involve multiple stages and levels, with each stage being highly interrelated and characterized by changing needs. Examples include, but are not limited to, the gestational stages of pregnancy and the progressive phases of dementia, both of which have medically defined stages. Additionally, some stages may be self-defined, reflecting the diverse fluctuations and interruptions experienced by individuals over time, mostly beyond medical conceptualizations (e.g., emotional, social).

Application Deadline: 7 Nov 2024

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8. Fully Funded PhD in Predictive Modeling of Defects in Thermoplastic Composites

Summary of Funded PhD Program

We are looking for a PhD candidate to strengthen our research team and develop predictive models for defect formation and shape distortions during the layup and VBO consolidation of thermoplastic composite structures. The role will involve designing and conducting experiments to identify, analyze, and quantify the relevant physical mechanisms, followed by the development of models to describe these, leading to process simulations models to predict and hence to prevent such defects from occurring in practice. Earlier work on defect formation during autoclave and press consolidation processes forms an excellent starting point for the task at hand.

Application Deadline: 31 Oct 2024

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9. Fully Funded PhD in Assessing the interplay between wind farms and clouds

Summary of Funded 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: 15 Nov 2024

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10. Fully Funded PhD in Large-scale weather effects in wind farm simulations

Summary of Funded 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: 15 Nov 2024

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11. Fully Funded PhD in Pioneering simulations of offshore wind farm turbulence

Summary of Funded 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: 15 Nov 2024

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