219 parallel-computing-numerical-methods-"https:" positions at Oak Ridge National Laboratory
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Sciences (NCCS), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) to perform leading-edge computational materials research and development. The scientific
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modeling, including numerical analysis, finite element methods, and software engineering Experience in software development in the C++ and Python languages The ability to work flexible hours and travel
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numerical methods, high-performance computing (HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming
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) specialization such as cluster management, parallel computing, and performance optimization. Hardware and software: The ability to deploy, administer, and monitor hardware and software components
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Sensitivity studies Validation activities Expertise in computational modeling, including numerical analysis, finite element methods, and software engineering Experience in software development in the C
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. You will develop scalable algorithms, software, and AI-enabled methods for modeling, simulating, and co-designing spiking neural networks and emerging computing systems. Drawing on expertise in
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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
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, and emerging computing technologies against mission requirements. Architect high-performance storage solutions, parallel file systems, data movement capabilities, and storage hierarchies appropriate for
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selected candidate will join the Multiscale Materials (MsM) group within the Advanced Computing Methods for Physical Sciences Section in CSED. The MsM group is dedicated to delivering multiscale, multi
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experience in HPC engineering with demonstrated strength in system architecture, cluster operations, parallel computing environments, and performance optimization. Demonstrated experience working in high