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/ computational sciences or related field Good understanding of the mathematical and numerical foundations of machine learning, statistical analysis and modeling Proficiency in Python and its ML tech stack
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devices from motors and actuators to sensors, memories, and emerging paradigms for computation. Despite their technological importance, many fundamental aspects of their behavior remain elusive, especially
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. Scientific IT Services (SIS - a section with ITS) aims at bridging the gap between computational research and IT services and infrastructure provisioning. We are working closely together with ETH researchers
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experience in developing software for scientific applications, data analysis, or real-time systems is desirable. Experience with parallel computing and optimization techniques for handling large datasets
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more comprehensible for you. The Research Analytics Services group, hosted by the section Research Support Services and Acquisitions, is hiring a specialist in library and information science as team
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application portal. Applications via email or postal services will not be considered. Questions regarding the position should be directed to Prof. Jörg F. Löffler (joerg.loeffler@mat.ethz.ch) or Dr. Robin E
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have a master’s degree in atmospheric and/or climate sciences, geochemistry, environmental chemistry, physics, computational sciences or a closely related discipline with a strong interest in numerical
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being
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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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the adoption of data science and machine learning methods within these diverse disciplines. Project background At the Swiss Data Science Center we work extensively in the application of machine learning