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6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more
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collaborative work both within and outside the school is expected. The new professors will be responsible, together with other members of the department, for teaching undergraduate (German or English) and
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develop novel learning-based control and policy optimization techniques. We're looking for a skilled machine learning (ML) engineer to develop cutting-edge AI algorithms for digital twin applications in
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, processes and manufacturing technologies. We foster cross-disciplinary research, education, and outreach to other academic institutes, industry and society in this field. Current major initiatives of MaP
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. Integration of concepts from different fields to develop unified models of cellular function that go beyond correlative observations is desired. The professorship will be embedded in the Department of Biology
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expected to develop a strong international world-class research programme in solid-state materials, while offering support and mentorship to several existing research groups within the organizational unit
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Health at the theoretical and methodological level within the broader Basel life sciences community. You will contribute to teaching at the graduate and professional postgraduate level. The position
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6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more
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mechanics and numerical modelling. The position is expected to start in September 2026 and is fully funded for 4 years. Job description You will develop a new coupled solid/ fluid mechanics-based numerical
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networks. Job description The selected candidate will work on the furhter development of spectral submanifold (SSM) methods, aiming to further develop concepts in nonlinear model reduction Possible research