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Field
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department currently manages a SLURM-based cluster comprising CPU, high-memory (HMEM), and GPU nodes, supporting a diverse range of computational research. About the role As the Institute’s computational
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GPUs (e.g., B200, RTX 6000 Blackwell Pro, H200) and CPU architectures that, even if they increase complexity, generate the kinds of problems we love! This role in our Operations Team provides support for
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you will operate what you design. We expect and support open-sourcing and publishing this work. The environment A large NVIDIA GPU cluster (B300/H200/H100 class) running self-hosted open-weight models
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Systems and Software Program (WASP ). You can find more information about us on the Department of Information Technology website. The position is hosted by the Division of Scientific Computing (TDB), one
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will also contribute to the group’s broader program of developing AI/ML methods for particle physics and the modeling of physical systems — including deep-learning approaches to reconstruction
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/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics and/or magnetohydrodynamics Radiative transfer in
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or develop program design, coding, testing, debugging, and documentation; advance researchers' goals by providing or enabling scientific data solutions through technical consulting. Required qualifications and
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Skills/Qualifications Technical Skills: Advanced programming in Python, PyTorch, PyTorch Geometric or DGL. Version control (git), Linux and model training on GPU (reproducible experiments). Other
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, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI, and the Aalto
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to the excellence of our programs through research and service efforts. Candidates are expected to establish and maintain an active and independent research program, teach effectively at both the undergraduate and