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with project partners and disseminate results through reports, visualisations, and scientific publications Your profile You hold an M.Sc. in Data Science, Computer Science, Engineering, Physics
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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
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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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2 Apr 2026 Job Information Organisation/Company Empa Research Field Chemistry » Other Computer science » Other Engineering » Chemical engineering Engineering » Materials engineering Engineering
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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(R1) Application Deadline 22 Jun 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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output in high-level peer-reviewed scientific journals. Your profile You must hold a PhD in Physics, Chemistry, Material Science, Computational Science, or similar. A high level of motivation to work in
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14 Mar 2026 Job Information Organisation/Company Empa Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry Chemistry » Inorganic chemistry
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Materials science and technology are our passion. With our cutting
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Zürich. The candidate will work on the Empa Campus in Dübendorf and will be enrolled in the doctoral program of ETH Zürich. The position is available from 1st July 2026 (or later upon agreement). We live a