230 parallel-and-distributed-computing-phd positions at Oak Ridge National Laboratory
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at ORNL! This position resides in the Emerging Technologies & Computing team in the Research Computing group in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL
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, and various geometry models (Computer Aided Design, unstructured mesh, Constructive Solid Geometry, etc.). Familiarity with established nuclear systems analysis software (such as SCALE, Nuclear Energy
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management machine learning, distributed computing, and resource optimization leveraging the unique computational resources available at ORNL, including the Frontier supercomputer—the world's first exascale
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-conductors, oxide heterostructures, etc. In the traditional sense, you will be responsible for understanding basic microstructure, such as identifying the phase, phase distribution, precipitate volume
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, semi- and non-conductors, oxide heterostructures, etc. In the traditional sense, you will be responsible for understanding basic microstructure, such as identifying the phase, phase distribution
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-conductors, oxide heterostructures, etc. In the traditional sense, you will be responsible for understanding basic microstructure, such as identifying the phase, phase distribution, precipitate volume
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statement from the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications: PhD in physics, computer science, engineering, or a related field with at
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working with Infiniband and parallel filesystems (Lustre, GPFS) is a plus. Experience managing Linux/UNIX operating systems in a heterogeneous environment. Solid understanding of networked computing
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of sparse matrix, tensor and graph algorithms on distributed and heterogenouscomputational environments. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational Science, or related
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organizing workshops, reports, position papers and detailed roadmaps to foster cross-agency engagement and outline utility-scale roadmaps for the QHPC initiative. Qualifications: PhD in Quantum Computing