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on computational analysis and supporting model development as part of a dynamic, fast-moving experimental program that applies molecular biology to the investigation of brain function and psychiatric illness
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port scientific applications to maximize performance across CPU, GPU, memory, storage, and I/O. Contribute technical expertise to faculty projects through the RCC Consultant Partnership Program and other
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, and complete your doctoral thesis in the Aalto Doctoral Programme in Electrical Engineering Contribute to teaching duties as part of your doctoral studies Your Network and Team Currently, our research
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with
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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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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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/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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campus IT partners. Key Responsibilities Architect, implement, administer, and optimize complex Linux systems, storage environments, virtualization platforms, and related infrastructure Plan and deploy
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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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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