167 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" positions at ETH Zurich
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of the student's PhD thesis. The PhD program at D-USYS (Department of Environmental Systems Science), ETH Zürich typically lasts three to four years on average. PhD students usually have to conduct research, study
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communities, land managers, and fire professionals with knowledge and skills now before the threat becomes acute across the continent. FiRES aims to assist this process by learning from people’s embodied
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80%-100%, Zurich, fixed-term ETH Zurich | Space is dedicated to advancing space activities both within ETH and in collaboration with external stakeholders. Our mission is to position ETH Zurich as Europe's leading institution in space research and education, while also being recognized as a...
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Position in the NorSCAPE Project: “Norway Spruce in a Changing Climate: Adaptation, Acclimation, and Physiological Responses for Resilient Forests in Europe” for 2 years, with possibility of extension.This project is in collaboration with the COSTAction CLEANFOREST. Norway spruce (Picea abies)...
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We look forward to receiving your application via the ETH job portal by January 12th, 2026, with the following documents: Motivation letter CV and publication list University degree, transcripts, and certificates Names and contact details of two referees Further information about the research...
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meta-optics have led to an advanced control over light-matter interaction, greatly contributing to different research directions including imaging, nonlinear optics, biosensing and photonic computing
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40%-100%, Zurich, fixed-term The Chair of Energy Systems Analysis (ESA), within the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zurich, is looking for a Scientific Assistant to
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The Quantum AI lab at ETH (Prof. Juan Carrasquilla ) invites applications for postdoctoral positions to work at the intersection of computational quantum many-body physics, automated scientific
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, engineering, physics, or a related field, and with strong interest in the cryosphere. The successful candidate has experience in computational data analysis or numerical modelling. You are eager to work
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policy, political economy, economics, sociology, computational social sciences, or a related field Strong knowledge of advanced quantitative methods is essential (e.g., econometrics, causal inference