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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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photons) in the CMS Phase-2 high-level trigger. This role offers an exciting opportunity to develop high-performance reconstruction methods by leveraging tracking and calorimeter data, GPU programming, and
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evolve the CMS Software into a distributed application, enabling it to run across multiple nodes and leverage remote accelerators like GPUs and FPGAs with minimal changes to the existing code. Focus will
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signal processing (GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral
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of the calculations are executed on GPUs, with the storage of intermediate data on CPUs. The Computational Nanoelectronics Group of ETH Zurich recently started implementing a novel device simulator called QuaTrEx
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(GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral communication skills
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under ETH Zurich Excellent working conditions, including access to modern GPU and computing infrastructure and sensor equipment A competitive salary in accordance with the regulations of ETH Zurich Active
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scale and scope. An invitation to join an environment like nowhere else on Earth. You will have the opportunity to work with cutting edge technologies (CPUs, GPUs, FPGAs) within the NextGen project and
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with weather and climate models in a Unix environment and expertise in high-performance computing, particularly GPU programming (CUDA, OpenACC) considered a plus. Goal-driven individual capable
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or GPU based) and data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral communication skills in English