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of Zurich) and Dr. Michael Siegenthaler (KOF). Using large-scale linked register and survey data and self-collected data on collective bargaining agreements in Switzerland, the primary research goals
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these challenges, in close collaboration with our interdisciplinary team and external scientific and industry partners. As part of this process, you will support our master students, publish in scientific journals
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required. Applicants must have obtained their Master's degree by September 2024 A strong foundation in analyzing large datasets and machine learning is highly desirable for this position Proficiency in
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. Your profile You have to have a master's degree preferably in Mechanical Engineering. The position is coupled with the possibility of a PhD study at ETH Zurich. Qualified candidates should have the
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topics and methods. You should: Hold a master's degree in a relevant field, such as Chemistry, Physics, Engineering or similar Have an excellent track record and meet the general admission requirements
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scenarios (e.g., in combination with Microsoft Hololens or Apple Vision Pro) Your profile ETH requirements: written and spoken fluency in English an excellent master's degree (MSc., M.Eng. or equivalent) in
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glaciation and cloud ice in climate models. In addition, a wide range of computational resources for regional and climate modelling are available in our group and at ETH Zurich. Job description The main
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scientific work. You should: Hold a master's degree in an engineering field relevant to electrohydraulic actuators or soft robotics, such as mechanical engineering, electrical engineering, or materials science