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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process
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development and evaluation of measurement concepts, algorithms, prototypes, and experimental setups (e.g., radiation detection/measurement systems, inspector-use tools, data analysis workflows). Perform data
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computing (HPC), with an emphasis on developing intelligent systems that can accelerate large-scale scientific research on leadership-class supercomputers. The successful candidate will contribute to research
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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workflows that support reuse, reproducibility, and long-term value of research data for downstream analytics, modeling, algorithm development, and emerging data-driven methods. Contribute to R&D and mission
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scientific capability, focusing on the co-evolution of algorithms, models, data, and computing architectures. Establish R&D priorities across: AI foundation models trained on scientific and simulation data
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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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challenges facing the nation. The Oak Ridge National Laboratory (ORNL) conducts research, development, and deployment of radar and optics technologies to address national security and other worldwide
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challenges facing the nation. The Oak Ridge National Laboratory (ORNL) conducts research, development, and deployment of radar and optics technologies to address national security and other worldwide
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upgrade existing imaging and sensing systems Develop new sensing techniques and technologies Calibrate sensors and ensure data integrity for use in machine learning algorithms Support R&D projects