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, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300 H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering
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containing plasma in fusion reactors, revolutionizing material design and structure, novel electronics and bioengineering applications. AI Postdoctoral Research Fellows will have access to the AI Lab GPU
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. CVSSP has a compute facility with 200 GPUs and >2PB of high-speed secure storage. The Surrey Institute for People-Centred AI is the founding pan-university institute at the University of Surrey, bringing
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. CVSSP has a compute facility with 200 GPUs and >2PB of high-speed secure storage. The Surrey Institute for People-Centred AI is the founding pan-university institute at the University of Surrey, bringing
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. CVSSP has a compute facility with 200 GPUs and >2PB of high-speed secure storage. The Surrey Institute for People-Centred AI is the founding pan-university institute at the University of Surrey, bringing
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: Proficiency in Python, PyTorch, JAX, or other ML frameworks - Computing: Experience with large-scale datasets, parallel computing, and GPUs/TPUs. - Algorithm Development: Ability to develop and optimize Machine
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Post Doctoral Position in GPU-Accelerated Optimization/Graph Algorithms Engineering Systems and Design, Singapore University of Technology and Design (https://sutd.edu.sg/About ) Graphics Processing
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-scale datasets generated from this research, you will have the opportunity to work closely with NERSC (National Energy Research Scientific Computing Center) and leverage Exascale computing and GPU
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. • Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing. • Experienced on GPU programming, familiar with cuda thread scheduling, allocation, and
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300