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with the world's first exascale system, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate
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independently and to participate creatively in collaborative teams across the laboratory. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within
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models of gas transport and process behavior in industrial systems Collaborate with a team of scientists from across the national laboratory complex on modeling efforts Extend process flow modeling across
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development and collaborations within the laboratory Basic Qualifications: Ph.D. in Chemistry, Minerology, or related field, having been received no more than five (5) years ago Demonstrated chemical and
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and report research results and publish scientific results in peer-reviewed journals in a timely manner fashion. Help the team goals and work with other team members Interact and collaborate with
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Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Ability to function well in a fast-paced research environment, set
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: Collaborate with internal and external researchers on a variety of data and storage related research projects for use cases in HPC, scientific AI, and scientific edge computing. I/O and storage performance
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detection, predictive modeling, process optimization, and automated decision support, including real-time and edge deployment Collaborate with multidisciplinary teams to provide sensing, computational, and
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Materials Science Section, Materials Science and Technology Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL). As part of our research team, you will closely collaborate with a
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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