25 machine-learning-phd-in-netherland Postdoctoral positions at Chalmers University of Technology in Sweden
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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with international partners in the FLAG-ERA project ThinQ. You will also have the opportunity to contribute your own research ideas and take part in supervising PhD students. About the research project
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University of Gothenburg as principals. The position is placed in the Division for Computer network and systems and the employment is placed with Chalmers University of Technology. Our research spans from
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PhD students in the Automation group, with the primary goal of qualifying for a future academic career. Contribute to research projects within discrete-event systems, supervisory control theory, and
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investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division conducts research on acceleration
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the official date of completion. Exceptions to the three-year eligibility limit may be made for documented circumstances such as parental leave, sick leave, or military service. The following experience will
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group. Main responsibilities Conduct research in collaboration with senior researchers and PhD students in the Automation group, with the primary goal of qualifying for a future academic career
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. This unique position combines advanced finite element modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an
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for documented circumstances such as parental leave, sick leave, or military service. The following experience will strengthen your application: Experience with biomaterials, such as hydrogels Familiarity with
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simulations to experiments in subatomic physics. The Plasma Theory group within the Division conducts research on acceleration and radiation generation in magnetic fusion, laser-produced and astrophysical