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diagnostic tools, automation, advanced software, and sensors and controls among others). Interact and collaborate with researchers from universities, national laboratories, and private industry. Present
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discovery with a strong emphasis on domain-driven impact. Develop, optimize, and transition algorithm prototypes to robust implementations Work with ORNL researchers, as well as internal and external project
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conditions, identification of vulnerabilities, and development of resilience enhancement strategies. Contribute to the design, development, and implementation of new models, methods, and algorithms
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algorithms. An understanding of when to apply what data-driven approach, from statistical techniques to generative AI models. Experience working with DOE National Laboratories (or similar R&D organizations
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embedded controllers. Experience in evaluating converter topologies, developing control algorithms, and writing controller code is expected. Major Duties/Responsibilities: Conduct R&D projects and help
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on solving the world’s most challenging problems through artificial intelligence and data driven algorithms and systems. CSMD creates the mathematics, artificial intelligence, and architecture-aware algorithms
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cameras, sensors, feedback control, and predictive analytics into industrial processes. Develop and apply smart manufacturing techniques, including automation, robotics, and industrial IoT (IIoT) to improve
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validate these distributed intelligence algorithms, enabling breakthroughs in scientific research across DOE domains. The candidate will collaborate with DOE’s SWARM project (https://swarm-workflows.org
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algorithms and techniques for advanced manufacturing applications. The group consists of highly talented experts in image/signal processing, mechanical engineering, data analytics including artificial
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: Develop electromagnetic transient models for bulk power systems, power electronics-based resouces (e.g. HVdc, solar PV inverters), synchronous generators, loads, etc. Develop simulation algorithms