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an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our
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, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and
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equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and
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, or design for manufacture is a plus. Programming and image-analysis skills, preferably in Python, and an interest in computervision, image processing, or machine learning. Experience with cameras
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evolving research project Flexibility for intensive experimental campaigns, including synchrotron beamtime Workplace Workplace We offer An exciting working environment Opportunities to learn cutting edge
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and institutions that interact with them. You should bring: A master’s degree in computer science, machine learning, HCI, or a related field. Strong foundations in machine learning and familiarity with
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enthusiasm for learning new computational techniques. Academic excellence, a professional approach to research, and the ability to work independently are expected. The candidate must be able to communicate
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mechatronic systems, electromagnetic actuators and electric motors Contribute to teaching in form of lectures and projects, supervision of student theses, and departmental initiatives Acquire and manage
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values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and
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). The climate crisis demands swift, systemic change in how we design, build, and learn. The Chair of Sustainable Construction at ETH Zurich, is a group of scientists, engineers and architects aiming to ground