352 fully-funded-phd-program-computer-science-"IMPRS-ML"-"IMPRS-ML" positions in Switzerland
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- ETH Zurich
- University of Basel
- Empa
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- ETH Zürich
- Paul Scherrer Institut Villigen
- EPFL FSB
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- CERN - European Organization for Nuclear Research
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- ETHZ & University of Zurich
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- Fluxim AG
- Friedrich Miescher Institute for Biomedical Research
- Graduate Institute of International and Development Studies
- Prof. Dr. Ricarda Toerner
- University of California
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reports Profile MSc or PhD in Earth Sciences or closely related field Proven advanced expertise in 3D geological modelling Experience in managing diverse geological datasets (e.g., GIS data, 3D meshes
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expertise in material science, engineering, and computing. The lab focuses on sensing technologies for electronic textiles, with applications in sports and health. To strengthen its operations, the BMHT Lab
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their PhD in engineering, physics or material science. You are motivated and curious about AI/ML frameworks for monitoring and controlling materials processes. You are ready to discover the new horizons in
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hyperspectral data. Present research results to academic audiences, collaborators, and stakeholders. Profile PhD in Geomatics or a related field (e.g., Environmental Sciences, Civil Engineering), with
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doctoral program within the Graduate School of Medical & Health Sciences (GSMHS), the DBE has grown successfully within a short period of time. Your position Developing a proposal for the structure and
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100%, Zurich, fixed-term The Global Health Engineering GHE group is based within the Department of Mechanical and Process Engineering at ETH. Our interdisciplinary team includes environmental
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, as well as sensors, actuators, and control architectures that are particular to the mechanical and process engineering disciplines. Successful candidates should hold a PhD degree or equivalent in
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international research community starting in October 2025. The ideal candidate possesses a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering or related fields. Prior
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programming in Julia or a strong willingness to learn Strong English speaking and writing skills Able to work well in a team Heliosphere / plasma science, cosmic dust science, astrodynamics Parallel processing
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-reviewed journals, and participating in international conferences. Your profile You are a highly motivated and dedicated candidate with a PhD in Engineering, Energy Systems, or a related field. You bring