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Application Deadline 22 May 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and
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the field of Computer Science or similar Solid background in the foundations of reinforcement learning Proven research experience with first-authored publications at peer-reviewed conferences (ICML
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of knowledge between the fields of computer vision and forestry. Job description The successful candidate will develop a comprehensive modeling approach to quantify tree species health and forecast tree species
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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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100%, Singapore, fixed-term ETH Zurich is one of the leading universities of the world with a strong focus on science and engineering. In 2010 it established the Singapore-ETH Centre (SEC) in collaboration with the National Research Foundation (NRF) to do interdisciplinary research on pressing...
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ETH Zurich is one of the leading universities of the world with a strong focus on science and engineering. In 2010 it established the Singapore-ETH Centre (SEC) in collaboration with the National Research Foundation (NRF) to do interdisciplinary research on pressing problems. The Singapore-ETH...
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ETH Zurich, Mathematics Position ID: 1118 -POSTDOC [#25919] Position Title: Position Type: Postdoctoral Position Location: Zurich, Zurich 8092, Switzerland [map ] Appl Deadline: 2024/12/15 11:59PM (finished posted 2024/11/21) Position Description: Apply Position Description The research group...
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of spintronic devices. Job description You will be responsible for developing novel spintronic devices for computing applications. The characterisation will be carried out using lab-based characterisation methods
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. The project will mainly be carried out in...