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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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research on power electronic converter systems, which are required, for example, in future energy distribution systems for the integration of renewable energy sources or in traction applications/electric
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, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple
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apply a range of cutting-edge modeling and computational techniques. You will work in an interdisciplinary, cutting-edge, fast-paced research environment, interact with researchers with different
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of Aquatic Science and Technology, an interdisciplinary team of researchers studying biogeochemical cycles of trace elements across different environmental compartments. Our mission is to understand and
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100%, Zurich, fixed-term The Distributed Computing Group is a research group at ETH Zurich. We are interested in various research topics on new and upcoming areas off the beaten path. Our three
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We, the ETH Zurich Bioprocess Laboratory (Prof. Sven Panke), are a multinational (currently 8 different nationalities) and interdisciplinary (microfluidics, genetic and enzyme engineering
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of computational and statistical genomics, and bioinformatics. Cattle are an interesting «model organism» to study inherited genetic variation and the molecular-genetic underpinnings of complex traits and dieseases
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plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in