52 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"https:"-"DIFFER"-"Durham-University" positions at ETH Zurich in Switzerland
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Each doctoral student will lead a coherent subproject within this broader research program: Position 1: AI for Computational Thinking Focuses on designing and studying AI-assisted programming
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100%, Zurich, fixed-term The doctoral program at the Institute of History and Theory of Architecture (gta), ETH Zurich, offers two fellowship positions to start on 1 October 2026. This program
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to preferences and behavior in other policy realms. To answer these questions, the team relies on an original approach combining survey and geocoded data with survey experiments. Job description Program surveys in
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Strong background in seismic methods, signal processing, and/or wave physics Experience or strong interest in seismic data processing, imaging, and inversion Good programming skills (e.g., Python, MATLAB
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. Position details: Start date: Jan. 1st 2026 or by agreement Funding: Fully funded PhD position (ca. 4 years, final admission to Doctoral Program after successful Aptitude Colloquium after 1.5 years, annual
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novel systems, plan and execute experiments, and report findings in articles to be published at top venues according to the project’s schedule. Periodic meetings and feedback will ensure the success
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, and be at the beginning of their research career. Principal qualifications include strong analytical and quantitative skills in numerical analysis, programming, high-performance computing, as
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in PBF of plastics (whole chain). Develop and test new materials, additives, and processing strategies including printing & testing of parts. Plan and execute laboratory experiments (incl. DoE) with
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and waste-free chemical industry for a sustainable society. Jointly led by ETH Zurich and EPFL since 2020, the research program is funded by the Swiss National Science Foundation (SNSF) and currently
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, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal