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Contributing to GenAI4Earth infrastructure architecture – core federated services, compute, AI-ready datasets, testing and validation Publication of research papers in relevant academic journals and
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2026 - 15:37 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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modeling. This position offers a vibrant research environment with access to world-class high-performance computing clusters and opportunities to collaborate broadly across the departments of Physics
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Qualifications: A Master's degree and a PhD in Data Science, Mathematics, Computer Science, Physics, or in a related field In-depth knowledge in current methodology of AI (Deep Learning, generative AI, Explainable
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programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience with software development. Experience with use of GPUs, multi-core CPUs, advanced computing (e.g., QPUs
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• Access to modern computational infrastructure, including GPU clusters and supercomputers • Scientific freedom and excellent development opportunities • Salary according to the German public service pay
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such as quantum and analog computational models. You will explore how compilers, runtimes, and AI-driven agents can co-optimize complex architectures, reasoning across conventional processors (CPUs/GPUs
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interactions, or aerosol–cloud interactions Strong experience in numerical modeling and high-performance computing • Experience applying AI/ML methods to model development, with strong programming skills (e.g
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. Experience with GPU-based training and high-performance computing. Interest in translating methodological contributions into high-impact medical AI venues (e.g., Nature Medicine, Nature Machine Intelligence
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Requisition Id 16217 Overview: The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak