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sciences, and high-performance computing. The candidate will have opportunities to work with world-class computing resources, including ORNL’s leadership-class computing ecosystem, and to contribute to AI
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. This researcher will focus on advancing secure, trustworthy, and efficient AI solutions for scientific applications by developing state-of-the-art sparse algorithms in matrices, tensors, and networks
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. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top
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to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must
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, reactor core, spent fuel, and fuel cycle applications through leadership in the development and analysis of SCALE and/or the Virtual Environment for Reactor Applications (VERA) simulations and in
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more than five years before application; all degree requirements must be completed before the appointment begins. Hands-on research experience building, aligning, or characterizing optical systems
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the last 5 years. Preferred Qualifications: Proven RDD&D experience in urban-scale building energy modeling. Experience planning and designing solutions for a variety of community projects, including
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the laboratory. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Applicants
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for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational techniques specifically
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Landscape analysis and modeling, with a focus on training and application of predictive machine learning tools. This researcher will synthesize regional-scale remote sensing imagery and ecological monitoring