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loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component/device models into open-source software tools for integrated
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Requisition Id 16562 Overview: The Analytics and AI Methods at Scale (AAIMS) group at the National Center of Computational Science (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking
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research and development in the areas of gauge field generation, linear and eigen-solvers, or novel analysis methods. This position will reside in the Advanced Computing for Nuclear, Particle and
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-loop” optimization environments, enabling AI agents to analyze, transform, and validate IR with performance-driven reasoning. HPC System Co‑Design: Investigate methods through which AI agents guide
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research within past five years. Preferred Qualifications: Ability to work independently to design and deploy methods at scale. Familiarity with hardware-software co-design, memory hierarchies (DDR, HBM
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Science group addresses this mission through the development of quantum computational methods and software for diverse scientific applications. Major Duties/Responsibilities: Conduct research in
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databases to assess ecosystem response to environmental forcing. The primary research focus is AI-forward, experiment-driven. This position encourages leveraging AI/ML methods to assess plant physiological
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, optical spectroscopy, and scanning probe microscopy. Advance capabilities for specialized scanning probe microscopy methods Work as part of a dynamic team conducting research that advances and develops
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workflows. Preferred Qualifications: Hands-on experience with machine tool metrology and performance evaluation methods such as ball-bar testing, laser interferometry, volumetric accuracy assessment, spindle
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and lignocellulosic biomass into domestic fuels and chemicals. Research activities may include creating transformation methods, constructing gene‑expression “genetic parts,” and developing CRISPR‑Cas