209 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
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, Switzerland [map ] Subject Areas: Computer Science / Distributed Systems and Networking , Networking , Networking and distributed systems Appl Deadline: 2026/01/08 11:59PM (posted 2025/11/10, listed until
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the institution teams. Profile Required qualifications and skills: Master degree in computer sciences, natural sciences, or equivalent with demonstrated expertise or qualifications (e.g., physics, geography
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policy, political economy, economics, sociology, computational social sciences, or a related field Strong knowledge of advanced quantitative methods is essential (e.g., econometrics, causal inference
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close collaboration with experimental and clinical partners, and we are embedded in one of the strongest AI and computer science environments worldwide. Learn more about our research and recent work
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10 Nov 2025 Job Information Organisation/Company ETH Zurich Department Institute for Building Materials Research Field Engineering » Biomaterial engineering Engineering » Materials engineering
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100%, Zurich, fixed-term The Programming, Education, and Computer-Human Interaction group in the Department of Computer Science is recruiting one research intern to work broadly in the area of
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Topic A: Automation and Monitoring for an Internal Development Platform Abstract The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research
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for mechanical failure. Our team is highly interdisciplinary and international, bringing together researchers with backgrounds in materials science, mechanics, and applied physics. We work across a broad range of
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interest and motivation to contribute to the project’s goals (see Job description section above) Outstanding academic record, including an excellent Master’s degree in Computer Science, Engineering, or other
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, engineering, physics, or a related field, and with strong interest in the cryosphere. The successful candidate has experience in computational data analysis or numerical modelling. You are eager to work