220 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
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published work , or contact Professor Martin Fussenegger by mail (martin.fussenegger@bsse.ethz.ch ). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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, or contact Professor Martin Fussenegger by mail (martin.fussenegger@bsse.ethz.ch ). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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networks changes under mechanical loading, enabling the development of bio-based sensing systems for structural health monitoring. Project background We seek a motivated Student Assistant (HiWi) to support
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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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is to build efficient and robust computational tools for analyzing complex engineering systems. Applications include structural dynamics and other dynamical systems relevant to real-world engineering
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-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using
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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
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Computer Science, Biomedical Engineering, Data Science, Cognitive Science, or a related field Strong Python programming skills and experience with PyTorch or TensorFlow Interest in multimodal data, time-series
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100%, Basel, fixed-term The Computational Evolution Group, led by Prof. Dr. Tanja Stadler, in the Department of Biosystems Science and Engineering (D-BSSE) at ETH Zürich works at the interface
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interest in data-intensive systems. You bring a solid foundation in software or data engineering, typically developed through a Master’s degree or higher (e.g. PhD) in Computer Science or a related field, or