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experimental partners in Metapix . As a postdoc you will be embedded in the recently funded Metapix center and you will be part of the Condensed Matter and Materials Theory division , a research group tackling
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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. As a postdoc you will be embedded in the recently funded Metapix center and you will be part of the Condensed Matter and Materials Theory division , a research group tackling questions ranging from
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, you will become part of a successful team of PhD students and postdocs in a constellation of local theoretical and experimental groups. For this postdoc project, we seek a dynamic and motivated
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apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
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have great impact in academia and industry. Your research direction and work assignments You will develop methods, based on computational geometry, to generate spatial information of nanoparticles
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power grids. In this role, you will combine theory and experimentation to address one of the most critical challenges in modern energy systems, maintaining stability in an increasingly converter-dominated
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We are looking for a postdoctoral researcher who wants to contribute to the development of next-generation frameworks for resilient power grids. In this role, you will combine theory and
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and men. Project overview The project concerns applying supervisory control theory to security in a broad sense, both as off-line and on-line approaches. The work is collaborative in nature, bridging
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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