148 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich
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2026/01/08) Position Description: Apply 2026/01/08 11:59PM Position Description The Department of Computer Science (www.inf.ethz.ch) at ETH Zurich invites applications for an assistant professorship
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professor will be responsible, together with other members of the department, for teaching undergraduate (German or English) and graduate level courses (English) for students in mathematics, natural sciences
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40%-100%, Zurich, fixed-term The research group led by Professor Valentina Boeva at ETH Zurich is seeking a dedicated Scientific Affairs Manager with a strong scientific background, ideally with
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work closely with Professor Platt, guide the group’s computational research, contribute to ongoing projects, and pursue independent research directions aligned with the laboratory’s goals. Project
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to the research group’s teaching responsibilities, which involves teaching courses for ETH’s teacher training program in German. Further, the candidate should be prepared to co-mentor PhD students and to mentor
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psychologists, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU
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institutions worldwide. Further information about Professorship for International Relations and Data Science can be found on our website. Questions regarding the position should be directed to Professor Dr
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, the research group has investigated effects of trainings that help people recognize misleading data visualizations, thereby reducing their negative impact on information extraction (for example, see Rho et al
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by two ETH professors from two different departments. If you don’t have hosts yet, Design++ can help match you based on your proposal. Project background You are a great fit if you’re excited to: (a
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operating and advancing the data platform, assist interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage and process large environmental