222 Computer-Science-"https:"-"Data-driven-Materials-Modeling"-"https:" positions at ETH Zurich
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-PSI Quantum Computing Hub and the advertised position will involve close collaboration with its trapped-ion team, which conducts related research on scalable trapped-ion quantum-information processing
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. Curious? So are we. We look forward to receiving your online application including: CV A short motivation letter Further information about the Institute of Agricultural Sciences can be found on our Website
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100%, Zurich, fixed-term The Laboratory of Energy Science and Engineering (LESE, ETH Zürich) invites applications for a PhD position in the field of CO₂ capture and critical element recovery, with
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Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field Exceptional BSc candidates with strong engineering experience will also be
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analysis methods and high-performance computing to develop solutions for specific societal and economic challenges. Located at the D4 Business Village in Root, close to Lucerne, ETH Swiss GeoLab works at
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, are safe to touch, and work untethered and underwater (Science Advances, 2024 ). We recently extended these muscles to full antagonistic motion ranges (ICRA 2025 ) and to a sensorless, inherently compliant
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of affiliated faculty as well as with the Public Discourse Foundation Profile Strong candidates will have most of the following: Completed undergraduate degree in a social science program with a preference for
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Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Exceptional BSc candidates with strong engineering experience will also be
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, regressions, and evaluation failures Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field Exceptional BSc candidates with strong
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of artificial intelligence, atomistic simulation, and materials science, starting in September 2026 or by mutual agreement. Our group develops computational methods to accelerate the discovery and design of