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to offer services and solutions in the wide area of scientific computing from the provisioning of HPC resources, over scientific data analysis and management to research software engineering. SIS is
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papers, present results within the lab and at conferences, and help mentor students. Use and maintain lab resources on HPC and Github. Tools you will use daily include Python and R, version control (Git
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address these in the cover letter): Machine Learning, Computational Simulations (e.g., CFD, FEA, etc.), domain expertise in Engineering problems, familiarity with High-Performance Computing (HPC
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papers, present results within the lab and at conferences, and help mentor students. Use and maintain lab resources on HPC and Github. Tools you will use daily include Python and R, version control (Git
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-Performance Computing (HPC) environments, or Software Engineering. You are expected to have a Ph.D. degree in Mechanical Engineering, Computer Science, Applied Mathematics, Robotics, or related fields with
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Background in high-performance computing (HPC) or cloud environments Comfortable working in Linux/Unix environments Advantageous qualifications: Development of parallel applications Strong Python knowledge
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with additional biophysical features Apply the framework to morphogenetic problems based on imaging data Run large-scale simulations on ETH Zurich’s high-performance computing (HPC) infrastructure
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capabilities of the existing C++ codebase Applying the framework to morphogenetic problems using real imaging data Conducting large-scale simulations on ETH's HPC infrastructure Performing model calibration
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integration of existing components for high throughput data distribution between HPC data centers, software systems and telescope instrumentation, particularly focusing on the digital correlator and science
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| Automatic Control Laboratory, Department of Information Technology and Electrical Engineering Software Engineer in HPC/Cloud for Weather and Climate 80%-100%, Zurich, fixed-term 11.09.2025