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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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equipment at Empa in strong collaboration with groups at ETH Zurich, EPFL and other Swiss and international institutes. We live a culture of inclusion and respect. We welcome all people who are interested in
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expertise in the field of sorbents and carbon capture. The position is part of the National Center of Competence in Research (NCCR) "Separations", a collaborative project lead by EPFL (Prof. Wendy Queen) and
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is required Our offer The starting date is Autum 2026 or upon mutual agreement. The work will primarily be carried out at Empa in Dübendorf and should eventually lead to a PhD degree from EPFL. We live
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plus. You enjoy working with complex, multimodal datasets and developing robust algorithms for continuous monitoring and predictive modelling. You are comfortable combining coding, data analysis, and
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flow reconstruction, enabling both real-time coarse diagnostics and high-fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi-agent robotics system