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interdisciplinary research projects in collaboration with a team of legal, economics, and computer science scholars. Workplace Workplace We offer We are an interdisciplinary research group at the intersection of law
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candidate will actively participate in the discussions and events organized within the Futures Interrupted program in Basel and abroad. Background and/or interests include (but are not limited to): political
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20%-30%, Zurich, fixed-term The GenAI-R&D for Future-Proof Teaching group at the ETH AI Center (Zürich-Oerlikon) builds fully open-source systems aimed at transforming the way students learn and instructors teach. We focus on innovative tools such as chatbots, automatic problem generation, and...
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The PhD position is part of an interdisciplinary research project at the intersection of robotics and biomedical engineering, conducted in close collaboration with neurosurgeons from the University Hospital Zurich, biomedical engineers and veterinarians from the University of Zurich, as well as...
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We’d love to get to know you! Please record a maximum two-minute video clip introducing yourself and one project you have realized. We're not looking for perfect video production skills - just use your smartphone, be yourself, and don't worry about editing the clip. We want to meet the real...
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, and innovation-driven work environment. Benefits according to ETH Zurich’s employee benefits program. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our
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studies, science and technology studies, digital humanities, computer science, literary studies, philology, cultural studies, history and philosophy of science and technology, information studies, or other
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program, active participation in teaching within the framework of medical studies as well as the coordination of the promotion of junior staff and specialist training. The professor will be
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business applications. Profile Required Qualifications Master's degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in
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analytics projects Mentor graduate students and supervise research activities Required Qualifications PhD in Computer Science, Data Science, or related fields Strong background in blockchain data collection