24 computer-software Postdoctoral positions at Oak Ridge National Laboratory in postdoctoral
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software that makes these methods usable and reproducible for other researchers. Design and execute computational studies that assess model performance, sensitivity, and parameter identifiability, and that
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software, and heterogeneous execution environments. Explore and analyze different quantum computing modalities and architectures and investigate their integration with HPC systems. Use representative
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solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Science Engagement Section in the National Center for Computational Sciences
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outcomes in peer-reviewed journals in a timely manner. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong dedication to the implementation and perpetuation
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Engineer will conduct R&D in nuclear nonproliferation with expertise in computational nuclear reactor physics through modeling and simulation (M&S). The candidate will perform analysis and methods
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operational and application software; and educates and trains the next generation of computational scientists. A postdoctoral associate position is available immediately for candidates interested in and capable
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of finite element simulations methods. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools (e.g., GitHub), and parallel visualization
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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simulation tasks. Develop and maintain HPC-ready software workflows for distributed training, large-scale inference, scalable data ingestion, and data management on leadership-class computing systems and