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to the development of scalable and efficient implementations of these algorithms for state-of-the-art high performance computing facilities. Collaborate within a multi-disciplinary research environment consisting
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materials science applications and algorithms for OLCF supercomputers Develop and apply advanced, compute-intensive materials simulation methodologies to study the fundamental properties of molten salt
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computational efficiency Model thermal system design, operation, and maintenance scenarios to support optimization and decision-making Analyze and improve performance of HVAC, water heating, and data center
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advanced sensing and controls algorithms for manufacturing Communicate research results through presentations, reports, conference papers, and peer-reviewed journals Deliver ORNL’s mission by aligning
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numerical algorithms in advanced modeling and simulation software related to reactor physics analysis an asset Knowledge of software engineering best practices, including continuous integration, requirements
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. Previous experience with the development and implement numerical algorithms in advanced modeling and simulation software related to reactor physics analysis an asset Knowledge of software engineering best
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research on various aspects of Quantum Computing – from compilers and algorithms for scientific applications that will run on Quantum Computers to experimental validation of the science and benchmarking
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signature recognition and classification algorithms. Experience with Computational Imaging and Image Reconstruction techniques. Special Requirements: Visa sponsorship is not available for this position. Q
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optimization and consensus algorithms. Knowledge of large models and hyper-parameter optimization. Knowledge of high-performance computing and its applications. An excellent record of productive and creative
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and porting of scalable science applications and algorithms for OLCF and other leadership computers. Debugging and tuning applications for high performance. Developing performance models of existing