202 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at ETH Zurich
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data collection, data processing, algorithm development and system optimization. Job description Experimental Campaigns and Sensor Evaluation: Design and analysis of controlled test explosions in
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100%, Zurich, fixed-term We invite applications for a PhD position on Data-driven and hybrid hydrological modeling co-supervised by Manuela Brunner (ETH Zurich, WSL) and Olivia Martius (University
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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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of emerging technologies balanced against their dark sides. Our research at the intersection of data, behavioural, and computer science draws on data from real-world and experimental settings The Centre for AI
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engagement and conversion. Organise and execute recruitment activities, including information sessions, webinars, campus events, and participation in external fairs. Manage relationships with external agencies
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intelligent materials. Our work explores new paradigms for monitoring infrastructure through physics-based modeling, sensing systems, and data-driven approaches. The advertised position is part of a research
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you. The Research Analytics Service group, hosted by the section Research Support Services and Acquisitions, is hiring a Senior Data Scientist. The position is to be filled on 1 June 2026. Job
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on poroelastic effects and induced seismicity in geothermal systems. The position focuses on production-induced seismicity in fractured reservoirs and combines field experiments, data analysis, and numerical
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100%, Zurich, fixed-term The Biomedical Data Science Lab (BMDS Lab) at the Department of Health Sciences and Technology, ETH Zurich, is seeking a highly motivated PhD candidate to join our
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the approach of Large Language models, the aim of the WeatherGenerator is to build a so-called foundation model for Weather and Climate. The model will be trained on various model data as well as many