177 computational-physics "https:" "https:" "https:" "U.S" positions at ETH Zurich in Switzerland
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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
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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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extension depending on programme needs and performance. Job description As the Admissions & Recruitment Manager, you will play a key role in managing the admissions process, organising recruitment activities
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environment where philosophy meets data science, public health, medicine, and law? At the Health Ethics & Policy Lab (https://bioethics.ethz.ch ), you will join a team committed to shaping responsible
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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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backgrounds including biology, medicine, psychology, biochemistry, physics, engineering, computer science, and economics investigate fundamental questions about how the brain functions in health and disease
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Contribute to supervision of students and interns where appropriate Profile PhD in climate science, atmospheric science, computer science, data science, physics, applied mathematics, remote sensing, or a
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received by 1 November 2025. Note: as an option, one of the four reference letters can be about teaching. For more details, please see the website: https://math.ethz.ch/fim/postdocs.html Application
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
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100%, Locarno, fixed-term Recent advances in AI-based weather prediction have demonstrated remarkable skill and computational efficiency. However, most current machine-learning weather prediction