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Mixed Reality. This research combines physiological time series analysis (specifically EMG during muscle activation), machine learning, and real-time system design for intelligent interaction systems
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system design. We employ advanced computational methods, machine learning, modeling, and custom hardware and software to continually test our solutions in various real-world industry projects. In one
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20%-40%, Zurich, fixed-term The Public Policy Group at ETH Zurich invites applications for a research assistant in quantitative social science for a project using machine learning to improve refugee
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numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits chevron_right Working, teaching and
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in society You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits We value
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main areas of research are machine learning, distributed systems, and the theory of networks. Within these three areas, we are currently working on several projects: graph neural networks, natural
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are actively committed to a sustainable and climate-neutral university. You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ
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and adventure, and short commutes via train/plain/automobile to anywhere in Europe. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values , ETH Zurich
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Simulation and Metrology at inspire offers in collaboration with ETH Zurich the following position
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experience CH/EU/EFTA citizenship or a valid Swiss work permit Master’s degree (ETH, university) in engineering, mechatronics, computer science, or a related field Experience in machine learning, signal