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application! Work assignments Our current research projects focus on distributed radar sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine
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experiments at synchrotron sources. The project is funded by the Chalmers Area of Advance Nano, and involves close collaboration with the groups of Sophie Weber (theory, physics) and Saroj Dash (experiment
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sources. The project is funded by the Chalmers Area of Advance Nano, and involves close collaboration with the groups of Sophie Weber (theory, physics) and Saroj Dash (experiment, physics), as
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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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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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design, and/or machine learning in the context of integrated photonics. We are looking for someone who wishes to work theoretically in this field, while still maintaining close contact with experiments
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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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the context of integrated photonics. We are looking for someone who wishes to work theoretically in this field, while still maintaining close contact with experiments. Information about the project and division
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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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Materials Theory division, a research group tackling questions ranging from nanomechanics to optics and quantum physics. Chalmers University of Technology is a leading research institution in nanoscience and