163 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at ETH Zurich in Switzerland
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of SIS (e.g., HPC systems engineers, data scientists, research software developers) and external collaborators. Profile a PhD or equivalent in Computational or Computer Science, Engineering, Physics, or a
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100%, Zurich, fixed-term The research group of Prof. Müller, Laboratory of Energy Science and Engineering at ETH Zürich is looking for a highly motivated candidate with a strong expertise and
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range of disciplinary backgrounds, including but not limited to environmental policy, political science, science and technology studies, public policy, data science, computer science, and international
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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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Required experience: CH/EU/EFTA citizenship or a valid work permit for Switzerland A Master’s degree (ETH, university) in engineering, computer science, or a related field Strong academic performance meeting
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the research group. Funding is provided for four years of PhD studies, and starts at 52,500 CHF / year (before taxes), as is standard in the Department of Environmental Systems Sciences (USYS) at ETH Zürich. All
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management by co-supervising bachelor and master thesis. The researcher will be supervised by Prof. Colette Heald. Profile Applicants should hold an PhD degree in atmospheric science, earth science
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students conduct in the department. Profile The ideal candidate will possess: A PhD in electrical engineering, biomedical engineering, computer science, or a related discipline, Experience in the analysis
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of the following areas (please address these in the cover letter): Machine Learning, Computational Simulations (e.g., CFD, FEA, etc.), domain expertise in Engineering problems, familiarity with High
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engaged with scientific developments and peer communities. Profile A PhD in geosciences, natural or engineering sciences, data science, or a discipline pertinent to Earth observation. At least 8 years of