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Field
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of CPU and GPU resources to maximize model performance, scalability, and portability. A particular focus of the position will be a dedicated project to prepare, optimize, and benchmark the code
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innovative software solutions to climate modeling problems that represent the state-of-the-art in high-performance computing and are performant on GPUs. Contribute to the design, performance specification, and
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collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL
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. The Directorate comprises the International Office, led by the Deputy Director International; the Global Partnerships Unit (GPU), led by the Associate Director Transnational Education (TNE); DMU Global; and the
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research software and working with high-performance or GPU computing environments. Experience publishing or contributing to scientific articles or conference papers. Personal qualifications Good
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humanity. • Access to state-of-the-art facilities, including extensive departmental CPU/GPU computing resources and Imperial’s Research Computing Service. • A vibrant, interdisciplinary research culture
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, or population genetics Deep learning for sequence, EHR, or imaging data High-performance and GPU computing environments Excellent candidates from adjacent quantitative fields are encouraged to apply. The Research
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Full time, fixed term until 31st January 2028 Opportunity to lead and shape a flagship, university-wide AI and GPU compute capability supporting cutting-edge research Base Salary $162,528 + 17
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for GPU-based AI workloads, with control at the level of transformer blocks and attention layers. • Design and build a high-resolution (microsecond-scale) performance monitoring framework to capture
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clusters, GPU-enabled systems, job schedulers (e.g., Slurm), and parallel computing workflows supporting simulations, bioinformatics, machine learning, or large-scale data analysis Experience managing