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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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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 chevron_right
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. The lab will be a multidisciplinary environment of approximately 10 people spanning molecular biologists, biochemists, computational biologists, machine-learning researchers, physicists, and engineers, with
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working as part of team Sound computer skills (MSOffice, SAP) Flair for solution-oriented, unbureaucratic approaches Workplace Workplace We offer Work-Life Balance Flexible working models (such as part-time
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intimidated by developing large systems, enjoys working with people and will rise to meet unforeseen challenges. Understanding of network security and computer networks. Advanced degree in computer science
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are comfortable working at the interface of technical, pedagogical and operational teams. You are not expected to develop software or machine-learning models, but you should be able to engage
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archives) Designing and implementing machine learning models for analysing and predicting well-being indicators Collaborating closely with other project members (including a second doctoral student working