52 parallel-computing-numerical-methods-"https:" positions at National Renewable Energy Laboratory NREL
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algorithms for analysis of large image datasets. Experience with parallel computing, high-performance computing, distributed computing, and/or cloud-based computational workflows. Experience with large-scale
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algorithmic components, using implementations that are suitable for effective utilization of the modern parallel computing architectures that are available at NRL. Candidates with creative problem-solving
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engineering workflows for data analysis and decision support. These workflows require distributed parallel computing, utilizing both cloud and on-premise high-performance computing (HPC) resources
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capabilities for complex applications like estuary flows, underwater turbines, and power lines. Implementing advanced numerical methods such as immersed boundary methods to model intricate geometries and
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, with deep expertise in one or more relevant areas and a record of remaining current with rapidly evolving technologies, research methods, and computing architectures. Demonstrated experience in
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development of numerical design, control, and optimization software tools, developing new and innovative methods of capturing marine energy, performing laboratory testing, and supporting open-ocean
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mechanics, materials science, or numerical methods for PDEs) . Job Application Submission Window The anticipated closing window for application submission is up to 30 days and may be extended as
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. The successful candidate should have a strong background and understanding of heat and mass transfer, including theory, numerical modeling, and experiments. Under the general direction of senior staff
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. The successful candidate should have a strong background and understanding of heat and mass transfer, including theory, numerical modeling, and experiments. Under the general direction of senior staff
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engineer with experience in AI, optimization, applied mathematics, and high-performance computing within the Computational Science Center (CSC) with a focus on advancing energy innovation by supporting world