46 electrical-machine-"https:"-"https:"-"https:"-"https:" ";" Postdoctoral positions at Oak Ridge National Laboratory
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generation of atomic structures and training of machine learning interatomic potentials (MLIPs) in a way that maximizes the capability of high-performance computing (HPC) platforms available in the Oak
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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. This
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, mechatronics, electrical engineering, controls engineering, or a related discipline completed within the past five years. Research experience in machining science, machine tool dynamics, machine tool
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manufacturing processes Understanding relationships between manufacturing intent, machine behavior, and part performance Optimization of manufacturing processes for improved throughput, reliability, and quality
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML
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be expected to commit to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity
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together, and measure success. Basic Qualifications: Ph.D. in civil engineering, mechanical engineering, computer science, electrical engineering, industrial and systems engineering, operations research
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, chemical engineering, mechanical engineering, polymer chemistry, electrical engineering, robotics, or a related field completed within the last five years. Background in composite material preparation
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specializing in artificial intelligence for science, knowledge-guided machine learning, and scalable scientific AI workflows. The successful candidate will conduct research at the intersection of machine
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complex challenges in science, energy, national security, and health. Our researchers develop scalable machine-learning models, deep-learning architectures, and data-driven methods for platforms ranging