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14 PhD Programs – Fully Funded at Eindhoven University of Technology, Netherlands

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

1. Fully Funded PhD in impact of outdoor lighting (and darkness) at cultural heritage sites

Summary of Funded PhD Program

This PhD position is part of a EU funded project called ‘The Art of Darkness as Cultural Heritage of Urban Landscape’. The cultural, aesthetic and sustainability values of darkness should be considered in lighting design, especially for cultural heritage sites. The Art of Darkness project will realize and evaluate five pilot projects in five different countries through a multidisciplinary and participatory approach that emphasizes lighting design not as mere technological, but a cultural design task. 

Application Deadline: 06/12/2024

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2. Fully Funded PhD in Experimental Micro-Mechanics of ‘Green Steels’

Summary of Funded PhD Program

PLEDGE is a challenging research project funded by the Dutch government and the Materials Innovation Institute (M2i) to understand the consequences of ‘green’ steel making (i) using a hydrogen-based production process and (ii) with an increased usage of recycled (scrap) material. The mechanical properties of any steel rely strongly on second-phase particles in the metallic microstructure, yet, the amount and distribution of second-phase particles can vary considerably in green steels. 

Application Deadline: 13/12/2024

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3. Fully Funded PhD in Interdisciplinary Team Teaching in Challenge-based Learning

Summary of Funded PhD Program

Are you passionate about shaping the future of engineering education? Are you eager to delve into how interdisciplinary teams of teachers learn and work together? Then, this PhD project at the department of Applied Physics and Science Education is for you. With this Eurotech Alliance PhD project, in collaboration with the Technical University of Denmark (DTU), Eindhoven University of Technology (TU/e) is now seeking a PhD candidate to investigate new ways of understanding and scaffolding interdisciplinary work in a constructive way.

Application Deadline: 04/12/2024

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4. Fully Funded PhD in Geometry and Algebra

Summary of Funded PhD Program

This PhD is in the Discrete Algebra and Geometry group, where your primary advisor will be Samantha Fairchild. Recommended theoretical projects focus on the study of translation surfaces and their moduli from the perspective of geometry, dynamics, number theory, or algebra. In addition, using tools from the theoretical projects you will have the opportunity to engage in real-world problems. The position also includes the opportunity to develop teaching skills as a teaching assistant.

Application Deadline: 15/12/2024

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5. Fully Funded PhD in Causal Machine Learning

Summary of Funded PhD Program

The Uncertainty in Artificial Intelligence (UAI) group is a quickly growing group embedded in the Data and AI (DAI) cluster at the Eindhoven University of Technology (https://dai.win.tue.nl). In the DAI cluster, we aim at developing foundations of AI for the present and the future. This includes the design of new AI methods, development of AI algorithms and tools with a view at expanding the reach of AI and its generalization abilities. In particular, we study foundational issues of robustness, safety, trust, reliability, tractability, scalability, interpretability and explainability of AI.

Application Deadline: 05/12/2024

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6. Fully Funded PhD in digital twins for modelling and forecasting induced seismicity

Summary of Funded PhD Program

You will build on some preparatory works [1-6], showing as a proof-of-concept that a soft-glass, forced below yield stress, follows stick-slip dynamics and closely mimics the empirical laws observed for tectonic seismicity (Gutenberg-Richter law, Omori’s law, interevent time distribution). The model needs to be tuned to a specific field situation where induced seismicity is occurring. This is the central part of this project. Once tuned, the digital twin will replicate what is happening in the field. Further, once tuned, different fluid migration scenarios can be tested to explore, for example, which protocols may produce induced seismicity with the steepest possible Gutenberg-Richter slope.

Application Deadline: 19/12/2024

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7. 02 Fully Funded PhD in Accelerating Rarefied Gas Dynamics

Summary of Funded PhD Program

Computational fluid dynamics is an essential enabler for science and for many outstanding societal challenges. Many key advanced and emerging technologies require unprecedented control of heat and mass transfer in flows, from continuum to highly-rarefied conditions, often in presence of electromagnetic fields, chemical reactions, and complex interactions with boundaries. Due to the non-equilibrium nature of rarefied flows and the pronounced influence of molecular effects, these transport processes are highly complex and occur in non-standard circumstances.

Application Deadline: 19/12/2024

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8. 02 Fully Funded PhD in optimizing synchromodal transport networks for construction logistics

Summary of Funded PhD Program

The DINALOG project “SYNERCIZE” (Synchromodal Transport Networks for a Construction Industry toward Zero Emissions) fosters long-term sustainable modal shift toward zero-emission waterways by (i) developing digital tools, (ii) optimizing and coordinating the day-to-day operations, (iii) designing networks which easily adapt to changing demand, and (iv) developing business models to support this shift. At TU/e, we will be working on the optimization and coordination of operations as well as the network design.

Application Deadline: 25/12/2024

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9. Fully Funded PhD in Sensor-agnostic AI for unobtrusive sleep-disordered breathing monitoring

Summary of Funded PhD Program

This project aims to make significant improvements in AI models to perform automatic sleep staging and OSA monitoring using advanced unobtrusive sensors including, but not limited to, wrist-worn PPG (wPPG) and remote PPG (rPPG) with camera devices. The focus of the project is on improving the accuracy, efficiency, and generalizability of AI models across sensor modalities and/or datasets. Starting from models previously developed by Philips and the Advanced Sleep Monitoring group at the TU/e, the PhD will further improve the diagnostic performance of PPG-based sleep and OSA monitoring, leveraging the large SOMNIA dataset at the Sleep Center Kempenhaeghe, comprising over 1,500 annotated gold standard PSG recordings together with high quality wPPG.

Application Deadline: 22/12/2024

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10. Fully Funded PhD in computational illumination optics

Summary of Funded PhD Program

The Computational Illumination Optics group is one of the few mathematics groups worldwide working on mathematical models of optical systems. They develop and analyze numerical methods to solve the resulting differential equations. The team has a healthy portfolio of PhD positions and close collaborations with industrial partners. It consists of four full FTEs at Eindhoven University of Technology and one part-time professor.

Application Deadline: 18/12/2024

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11. Fully Funded PhD in safe reinforcement learning in partially observable settings

Summary of Funded PhD Program

We are looking for an enthusiastic PhD candidate to work on advancing the field of sequential decision making under partial observations, with a particular focus on safe reinforcement learning methodologies. The primary objective is to build AI agents that, given a limited number of sensors, can operate safely in an unknown environment. The project focuses on the development of novel methods that can learn models of the world dedicated to safety. Such a model may be built based on the experiences of the agent or historical data collected by a different agent.

Application Deadline: 22/12/2024

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12. Fully Funded PhD in Embodied AI for Continuous Human-Like Learning

Summary of Funded PhD Program

Humans learn real-world haptic tasks through interaction with their environment. For example, through experience, children quickly learn to manipulate objects and solve physical puzzles. We continuously learn from sensory feedback, and actively seek sensory observations that inform our model of the world. In this PhD project, you will work towards the first integrated embodied AI system capable of human-like haptic exploration. This does not imply perfection, but behaviour that is relatable to a human user.

Application Deadline: 05/01/2025

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