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Home The University Job Opportunities and Working At Swansea Current Vacancies Research Assistant - GPU-Accelerated Scientific Computing for Exascale Simulation Back to list Research Assistant - GPU
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administration and HPC environments, together with strong technical expertise in cluster management, storage systems, networking, scripting, and infrastructure automation. Experience with GPU computing
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infrastructure at LSE. This role is responsible for the design, development, maintenance and optimisation of research-focused computing hardware infrastructure, including HPC clusters, GPU acceleration
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research computing facilities, including GPU, server and specialised research equipment. Ensure the operational readiness, reliability and effective functioning of laboratory and research computing
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designing, operating , automating, and optimizing the GPU and AI and computing infrastructure used by resea rchers across the university , along with the high-performance computing systems that
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designing, operating , automating, and optimizing the GPU and AI and computing infrastructure used by resea rchers across the university , along with the high-performance computing systems that
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system lifecycle. Evaluate and introduce emerging HPC, AI/ML, GPU computing, containerization, and infrastructure technologies that advance mission capabilities. Technical Leadership & Mission
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computing infrastructure, spanning HPC and GPU systems, servers, virtual machines, containers, storage integrations, scientific software environments, data-transfer services, and user-facing services
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, optimize, and support AI/ML pipelines on HPC and GPU-accelerated systems. Optimize large-scale training and inference workflows using distributed computing frameworks and performance analysis tools
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-time computing on heterogeneous processor types Optimized GPU computing and exploitation of GPU architectures for HPEC (tensors, multi-GPU instantiations, advances in GPU for AI/ML) Compute-focused