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the Alps supercomputer at the Swiss National Supercomputing Centre (CSCS), which features over 10,000 NVIDIA Grace Hopper GPUs, making it one of the most powerful AI-focused computing resources in
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100%, Zurich, fixed-term ETH Zurich | Space is dedicated to advancing space activities both within ETH and in collaboration with external stakeholders. Our mission is to position ETH Zurich as Europe’s leading institution in space research and education, while also being recognized as a premier...
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the international team of the Ultrafast Spectroscopy and Attosecond Science group. Gain access to a wide range of experimental and analytical facilities, including high-performance computing resources, and
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80%-100%, Zurich, fixed-term The Bedretto Underground Laboratory for Geosciences and Geoenergies (BedrettoLab) at ETH Zurich is at the forefront of experimental geosciences, conducting cutting-edge research in earthquake physics, seismic instrumentation, and geothermal energy. A dense,...
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of Ultrafast Magnetism and Nanomagnetic Materials. Project background Magnetic materials are important for several real-world applications including motors, actuators, sensors and computation. For example, heat
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for cancer, as well as metabolic, neurodegenerative, autoimmune, and infectious diseases. Job description PhD and postdoctoral projects will combine catalyst engineering, computational simulation, bioelectrode
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80%-100%, Zurich, fixed-term ETH Zurich | Space is dedicated to advancing space activities both within ETH and in collaboration with external stakeholders. Our mission is to position ETH Zurich as Europe’s leading institution in space research and education, while also being recognized as a...
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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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the opportunity to contribute to the group's teaching activities if so desired. The Postdoc position provides access to state-of-the-art computational power enabling impactful research. The position supports
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applicants). Experience in complementary fields such as computational modelling, bioelectronics, or materials engineering is advantageous, as is a willingness to acquire new interdisciplinary skills