216 engineering-"https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at ETH Zurich
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, PCBs) Note: This is not a position in biomedical engineering and there is no health focus. Project background Wearable EMG provides a direct and unobtrusive way to sense muscle activity underlying hand
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100%, Zurich, fixed-term We are seeking a skilled engineer to join the Apertus evaluation effort. The ideal candidate will build and operate the evaluation codebase and pipelines that inform our
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100%, Zurich, fixed-term The Optical Materials Engineering Laboratory (Prof. David J. Norris) in the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zurich investigates
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of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over
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Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge
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100%, Zurich, fixed-term We are seeking a skilled engineer to own the technical release path of Apertus models. The ideal candidate will integrate Apertus into the open-source inference ecosystem
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at ETH Zurich (Chair of Technology Marketing; Prof. Dr. Florian von Wangenheim, Dr. Thomas Scheurer) and the TUM Campus Munich (Professorship of Marketing & Technology; Prof. Dr. David Finken). This is a
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postal services will not be considered. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting
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100%, Zurich, fixed-term We are seeking a skilled engineer to join the Apertus post-training effort. The ideal candidate will develop, run, and evaluate the SFT and reinforcement learning pipelines
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools