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applicants). Experience in complementary fields such as computational modelling, bioelectronics, or materials engineering is advantageous, as is a willingness to acquire new interdisciplinary skills
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Computer Science, Artificial Intelligence, or related field. Proven experience in machine learning and neural network architectures. Strong programming skills in Python and familiarity with PyTorch. Experience with
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‘Master in Geography’ and ‘Specialized Master in Nature, Society and Politics’. The successful candidate will develop an internationally recognized competitive research programme sustained by external
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a master’s programme). Your studies are in a social science discipline (e.g., political science, sociology, anthropology) or a spatial science discipline (e.g., urban and spatial planning, urban
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Enrolled at ETH Zurich or the University of Zurich in computer science, information systems, data science, or related fields. Strong programming skills in Python. Experience with web scraping (e.g
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100%, Basel, fixed-term The Systems Physiology lab, led by Prof. Andreas Moor, at the Department of Biosystems Science and Engineering (D-BSSE) of ETH Zurich, located in Basel, is seeking a highly
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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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) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software
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artificial intelligence. For recruitment services the GTC of ETH Zurich apply. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned
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) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software