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Application Deadline 25 Sep 2025 - 23:59 (Europe/Zurich) Type of Contract Temporary Job Status Full-time Hours Per Week 41.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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100%, Zurich, fixed-term The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP81 project
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need to be enrolled in one of the EPFL doctoral school programs. This is a separate application process that you can start in parallel. We suggest that you apply to the Doctoral Program in Mechanics
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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with
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degree in the fields of transportation, civil engineering, computer science, urban analytics, spatial planning, geography, geoinformation, psychology or an equivalent qualification. Experience with first
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laser processing and to bring your ideas in AI/ML to the technology level. You have a solid background in programming (deep learning, reinforcement learning, etc.), electronics, high-speed data
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degree in physics, computer science, mathematics, computational neuroscience, or related fields. Extensive knowledge of dynamical systems theory. Excellent programming skills in Python. Previous experience
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knowledge and technology from research to Swiss machine, electrical and metal industries. The Automatic Control Laboratory (IfA) in the Department of Information Technology and Electrical Engineering of ETH
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About us NCCRs (National Centres of Competence in research) are national programmes funded by the Swiss National Science Foundation for up to 12 years, designed to achieve both scientific and
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biodiversity policy Experience with programming (preferred but not required) Professional working proficiency in English (Position 1) Master’s degree or equivalent in environmental science, political science