31 modal-analysis-machine-learning Postdoctoral positions at Chalmers University of Technology in Sweden
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modeling, machine learning, and experimental studies, while offering the opportunity to contribute to open-source libraries and collaborate directly with an innovative startup partner. You will be
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intelligence, machine learning, data science, applied mathematics, or a closely related field, awarded no more than three years prior to the application deadline*. Documented research experience in machine
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are looking for The following requirements are mandatory: To qualify for the position of postdoc, you must hold a doctoral degree in computer science, artificial intelligence, machine learning, data science
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the theoretical analysis of nanoscale and quantum devices, at the interface of quantum transport, quantum optics, and thermodynamics. The successful candidate will conduct research in close
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. Who we are looking for We seek a highly motivated and skilled candidate with a strong interest in the theoretical analysis of nanoscale and quantum devices, at the interface of quantum transport
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fluids, flow-induced pattern formation in both simple and complex flows (e.g. flow instabilities, product defects), multiscale analysis, and the application of machine learning techniques. About the
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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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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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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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13 Sep 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Computer systems Computer science » Other Researcher Profile Recognised