146 professor-computer-"https:" "https:" "https:" "https:" "UCL" "UCL" positions at ETH Zurich
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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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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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The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced
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2026, with a 100% workload, based in Zurich, and is fixed-term for three and a half years. Working across sociocultural, political-economic, and theoretical contexts, the LUS Doctoral Program fosters
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involves a collaboration with Associate Professor Jenni Raitoharju from the University of Jyväskylä, Finland. Keywords: ecohydraulics, Riverine Organism Drift Imager, artificial intelligence, imaging
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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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-facturing processes. In this internship, you will work on state-of-the-art anomaly detection methods using computer vision and time-series data, with a particular focus on multimodal data fusion for powder
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technologies (i.e. computing, data, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical
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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