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solutions to compelling problems in energy and security. The Learning Systems Group at Oak Ridge National Laboratory (ORNL) seeks a postdoctoral researcher specializing in federated learning and privacy
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Requisition Id 16723 Overview: We are seeking a Postdoctoral Research Associate with expertise in artificial intelligence (AI) and machine learning (ML) for multiscale physical systems
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ready. Integrate grid-edge measurements and system-level observations into unified workflows for DER aggregation and parameter identification. Apply machine learning techniques to improve DER/IBR model
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of AI for science, including scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models on leadership-class supercomputers. You’ll help design
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: We are seeking a Machine Learning Research Scientist who
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artificial intelligence for science, knowledge-guided machine learning, and scalable scientific AI workflows. The successful candidate will conduct research at the intersection of machine learning, high
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distributed computing, machine learning, and architecture search, you will use leadership-class and exascale systems to evaluate and optimize new approaches. You will collaborate across disciplines, help
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presentations. The Learning Systems Group at Oak Ridge National Laboratory advances the next generation of artificial intelligence by co-designing algorithms and computing systems to address complex challenges in
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learning solutions that support laboratory-wide training programs and organizational performance initiatives. This position resides in the Instructional Systems Design Group within the Office of Technical
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. Design, implement, and experimentally validate advanced learning and control strategies for power electronic converters and grid-interactive systems. Develop embedded control algorithms using DSP, FPGA