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characteristics that align well with the position: You are expected to have a Ph.D. degree in Engineering, Computer Science, Applied Mathematics, or related fields with an excellent track record in competitive
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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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support productivity workflows, guided by emerging large language models. Candidates ideally have a background in Computer Science and prior experience with human-computer interaction (e.g., through courses
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. Profile Education: Master’s or PhD in Computer Science, Data Science, Software Engineering, or a related field. Experience: Proven track record in data engineering, software development, and integration
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At the professorship of Geosensors and Engineering Geodesy (GSEG) at ETH Zürich we carry out cutting-edge research and teaching in the areas of geomonitoring, reality capture, high precision
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100%, Zurich, fixed-term The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. Project background The position is
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. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct
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Engineering of ETH Zurich is a community of approximately 50 researchers from more than 20 countries working on the development of methods and computational tools for automation, exploring their potential
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of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over
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. We look forward to receiving your application and welcoming a new researcher to our team at ETH Zurich! ETH Zurich is one of the world’s leading universities specialising in science and technology. We