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runaway models and numerical methods in OpenFOAM. Design and optimize computational frameworks for high-performance simulation of reacting flows and battery safety phenomena on modern GPU architectures
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine
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such as TensorFlow, PyTorch, or JAX is a must and experience with GPU-based experimentation and cluster computing (e.g., Docker, Slurm) a plus. In addition to the above, there is also a mandatory
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7 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Programming Computer science » Other Researcher Profile Recognised Researcher (R2
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higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
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are united in our efforts to understand, explain and improve our world and the human condition. About the workplace LUNARC is the centre for high-performance computing (HPC), visualisation, and storage at Lund
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software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing using clusters like UPPMAX and GPUs for high-performance computing and parallel
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- 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number
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9 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Computational chemistry Computer science » Other Physics » Other Researcher Profile
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theoretical physics. prior work in many-particle quantum mechanics. excellent knowledge and previous experience in HPC and proven competence in c++ and GPU computing. good ability to work independently and to