The Complex Systems Simulation and Optimization Group in the NREL Computational Science Center has an opening for a full-time Postdoctoral Researcher in scalable, parallel, accelerator-based high-performance (HPC), and Exascale computing algorithms and software applied to clean energy systems research funded by the DOE Advanced Scientific Computing Research (ASCR) office as part for the Exascale Computing Project (ECP), Office of Electricity (OE), and the Office of Energy Efficiency and Renewable Energy (EERE). Emphasis is placed on the construction, implementation, solution and analysis of complex systems, stochastic systems, optimization problems, uncertainty quantification, and linear/nonlinear systems including underlying linear algebra to effectively utilize HPC systems.
We believe that simulation and machine learning leveraging the power and scalability of HPC has the potential to transform our energy future and advance the state of the art in the field of renewable energy research and deployment. We are looking for a dynamic, motivated researcher with a strong technical background and an interest in the mission of NREL, EERE and the DOE in general. Enabling NREL and its collaborators to fully utilize DOE Exascale computing systems and NREL's HPC systems for modeling large power grids, transportation systems, and other energy systems is paramount to addressing national goals for renewable energy and efficient, resilient energy systems.
The successful candidate will collaborate with researchers across multiple national laboratories to develop breakthrough scalable, accelerated, simulation capabilities for the power grid and transportation expansion, planning, operations and analysis on the fastest supercomputers in the world. Your efforts will also contribute to the successful use of the first Exascale HPC systems in the United States. Our studies incorporate high-fidelity physical models, e.g. security-constrained AC optimal power flow, and high penetrations renewable energy technologies such as wind energy.
Collaborate with NREL and national lab partner researchers to develop and apply parallel, scalable, accelerated algorithms and software for use on HPC and Exascale computing systems for solve problems of national importance. Carry out high-fidelity numerical experiments and optimization that advance research in the electric grid, transportation and renewable energy utilization.
Conduct independent and collaborative research in developing and using parallel, scalable, accelerated algorithms and software for use on HPC and Exascale computing systems.
Evaluate and track technology and the state of parallel, scalable, accelerated algorithms and software for simulation and machine learning utilizing HPC and Exascale computing systems.
Author, present, and assist in the preparation of technical papers, reports, and conference proceedings on topics related to parallel, scalable, accelerated algorithms and software and their application to energy systems and infrastructure expansion.
You must either:
Be completing your PhD this year OR
Have completed your PhD in the past 3 years
Employer will assist with relocation costs.
Internal Number: R5113
About National Renewable Energy Lab (NREL)
At the National Renewable Energy Laboratory (NREL), we focus on creative answers to today's energy challenges. From breakthroughs in fundamental science to new clean technologies to integrated energy systems that power our lives, NREL researchers are transforming the way the nation and the world use energy.