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expertise and interest in machine learning and computer vision algorithms is necessary, with an emphasis on object tracking, optical flow and sensor fusion Knowledge of rock mechanics, soil mechanics and/or
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there are interventions. Interventions, which range from condition monitoring through minor and major maintenance to renewal and expansion, require time, money, machines, and personnel, and they partially block access
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, regressions, and evaluation failures Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field Exceptional BSc candidates with strong
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30%, Zurich, fixed-term The Professorship for Learning Sciences and Higher Education at ETH Zurich is seeking a motivated student assistant (30%) starting in October 2026. In this role, you will
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programming (Python, GIT, etc.) strongly preferred Basic cleanroom experience preferable Excellent technical problem-solving skills Open-mindedness, communication skills and critical thinking Willingness
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simulation, and machine learning. In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in
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training opportunities and employment conditions according to ETH Zurich standards You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by
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processes and documentation for future regulatory development Profile An MSc or BSc in Electrical Engineering, Embedded Systems, Computer Engineering, Robotics or a related discipline Strong C/C++ programming
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point by point. The machine and the artifacts it produces will be developed together, each iteration informing the next. The project is conducted jointly with a materials science group investigating
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models of regulation and dynamics . Flow- and diffusion-based models of cellular dynamics are expressive enough to map any source to any target state, but they fall short of learning the underlying