128 parallel-computing-numerical-methods-"Simons-Foundation" positions at ETH Zurich in Switzerland
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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
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FEniCS are a plus A keen interest in computational mechanics and in scientific methods and research in general Workplace Workplace We offer Your job with impact: Become part of ETH Zurich, which not only
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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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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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. 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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biology, or applied mathematics Documented experience in C++ programming and solid software engineering fundamentals Familiarity with numerical methods for solving PDEs (e.g., finite difference, finite
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understanding of travel behavior and mobility. Our research has strong conceptual and theoretical foundations, is ideally based on primary data, uses a mix of methods, and tries to infer causality as strongly as
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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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). The Bokulich laboratory develops bioinformatics methods and software for microbiome research, including QIIME 2, and applies these tools to study microbiomes at the interfaces of foods and human health. Job
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demonstrate these in their application materials Familiarity with numerical methods for PDEs (e.g., finite difference or finite element methods) Experience with tissue simulations and/or HPC is a plus Interest