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100%, Zurich, fixed-term The Optical Nanomaterial Laboratory in the Physics Department at ETH Zurich is looking for a PhD student in nonlinear optics for analog computing. Project background A
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at the intersection of data, behavioral, and computer science draws on data from real-world and experimental settings. Examples of our previous projects can be found by visiting our website here . Project background In
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at the intersection of data, behavioral, and computer science draws on data from real-world and experimental settings. Examples of our previous projects can be found by visiting our website here . Project background In
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in various fields, such as wildlife exploration, underwater locomotion, medical devices and object manipulation. Project background Electrohydraulic actuators are a novel technology that has
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at the intersection of data, behavioral, and computer science draws on data from real-world and experimental settings. Examples of our previous projects can be found by visiting our website here . Project background In
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90%-100%, Zurich, fixed-term The Atmospheric Physics Group of Prof. Ulrike Lohmann at the Institute for Atmospheric and Climate Sciences at ETH Zurich (IAC-ETH) invites applications for a 3 – 3.5
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of transportation, civil engineering, computer science, spatial planning, geography, geoinformation, psychology or an equivalent qualification Very good knowledge of written and spoken English (C1 or higher) Some
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interfaces with analytical chemistry and computational modeling. Your profile You have, or expect to obtain, an MSc or equivalent in toxicology, chemistry, biochemistry, pharmaceutical sciences, food science
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presentations You will supervise master/bachelor students You will be involved in teaching activities Your profile MS in Electrical Engineering, Computer Science, or related field with a good background in
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Computer Science or Electrical Engineering requirements for the position: strong interpersonal and communication skills experience in signal processing or machine learning for time series understanding of multimodal