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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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/Responsibilities: The successful candidate will be responsible for conducting, coordinating, and reporting complex research assignments related to energy conversion systems including: Design and develop experimental
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-efficient building systems, thermal-fluid processes, industrial heating applications, data center thermal management, and other emerging energy technologies. Develop and operate experimental facilities
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by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics or a related field completed within the last 5 years
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Requisition Id 16540 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory and artificial intelligence
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environment, safety, health, and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Develop strong, productive working relationships across
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perpetuation of values and ethics. Develop strong, productive working relationships across partnering research groups within ORNL. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with
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., neutron imaging, SPRUCE hydraulic/thermal thresholds and scaling Produce and publish AI-ready datasets to the ESS-DIVE data archive and BER data lakehouse Develop AI pipelines for experimental ecophysiology
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complex magnets via interpretable machine-learning models, and develop improved AI models that can accelerate prediction of new synthesizable magnet candidates with high energy density and critical
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Laboratory (ORNL). The selected candidate will work in a highly collaborative environment, leveraging state-of-the-art neutron and X-ray characterization facilities to develop a mechanistic understanding of