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Field
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role We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
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of advanced language models and derived use cases by focusing on one or more of the following topics in their PhD project: Training and inference of ML models on GPU clusters. Method development for scalable
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skills, with the ability to translate complex AI concepts into accessible solutions for diverse stakeholders; (f) possess knowledge of Graphics Processing Units (GPUs) and Neural Processing Units (NPUs
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, mathematics or any related field. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers to help you
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clusters, cloud computing, or GPU acceleration. Strong mathematical background in linear algebra, probability, and statistics. Prior research experience with publications or preprints. The University
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fields, applying advanced techniques such as large-scale data processing and GPU-accelerated computing. Access to state-of-the-art research facilities and a new GPU cluster. Collaborative and inclusive
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containers (Docker/Singularity/Podman/Kubernetes). Experience with Ethernet, InfiniBand, RDMA network technologies. CPU/GPU/memory/RAID/storage/Data Center technologies. Knowledge of current technological
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platforms, GPU environments or scientific computing. Experience in EU-funded projects or international collaborations. Experience working with learning management systems or digital learning tools. Knowledge
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Selectris energy filter and Falcon 4i. The Crick Institute has excellent High Performance Computing resources, dedicated high-speed data storage and CPU and GPU clusters. In collaboration with the Cryo-EM
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-of-the-art GPU and data storage cluster; direct access to a Titan Krios to the LonCEN consortium and the UK national cryo-EM facility at eBIC. What you would be doing: By joining the Costa laboratory, you will