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development, the national security institute will advance national security in pursuit of a secure America. Within the Institute, multiple motivated applicants are sought to join as Research Faculty to support
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/GPU architectures and even quantum computing are currently actively explored. Candidates are sought that align with these research areas. A broad interest in teaching topics would additionally be
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of unparalleled computing resources in the academic environment by optimizing AI/ML models including scaling models across a large set of GPUs; building or optimizing LLMs to tackle new, complex tasks; developing
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Linux kernel internals, computation accelerators (e.g., GPU computing, CUDA), MPI, and OpenMP. Highly resourceful and adept at juggling multiple simultaneous projects. Must demonstrate ability to work
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, manage and administer large-scale high-performance computing systems and networks, which include cutting edge research cluster computers containing a dozen to several hundred nodes, various types
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multiple languages. Proficient on a computer cluster and ideally programming with GPU nodes. Preferred Competencies Knowledge of relevant scientific fields and procedures. Work both independently and in
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Job Summary #CA-PS Under direction, manage and administer large-scale high-performance computing systems and networks, which include cutting edge research cluster computers containing a dozen to
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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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Role: Research Associate in Statistical Machine Learning for Computational Imaging Grade and Salary: Grade 7, £37,174 - £46,735 per annum FTE and working pattern: 1 FTE, 35hrs per week, Monday
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) general-purpose hardware such as accelerators for AI and ML, high-performance computing, low-power edge computing, quantum computing, cybersecurity, chiplets, and CPU, TPU, GPU, and FPGA systems; or (2