195 machine-learning "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at ETH Zurich
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Center for Project-Based Learning. The successful candidate will contribute to research at the intersection of embedded machine learning, signal processing, and smart sensing systems, with applications in
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Thermal effects are a major source of geometric errors in modern machine tools. Accurate prediction of temperature fields inside machine structures is therefore essential for improving machining
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. Joël Mesot. The closing date for applications is 22 February 2026. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://ethz.ch/en/the-eth-zurich/working
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research at the intersection of law, AI, and social science Are motivated to work with quantitative empirical methods and are willing to acquire skills in experimental and quantitative research Have an
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Armed Forces. The research contributes to the scientific foundation of monitoring and rapid altering systems for underground infrastructure. Project background Seismic and fiber-optic sensing technologies offer
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programming skills in Python Experience with machine learning systems or LLM-based architectures Experience working with complex data systems or developing applied AI prototypes Familiarity with modern AI tools
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understanding of the aging of solid insulation under mixed-frequency medium-voltage stress, see https://doi.org/10.1088/1361-6463/acd55f for a relevant example research work of our team in this area. Profile
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80%-100%, Zurich, fixed-term We are looking for a Research Engineer to join ongoing and future research projects at the intersection of machine learning, and structural design (e.g. trusses, space
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benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits chevron_right Working, teaching and research at ETH
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to assess ecosystem services Evaluation of plant phenotyping models, jointly with the other Work Packages of PhenoMix Statistical analyses, including machine learning approaches Presentation at national and