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Postdoctoral Researcher – Uncertainty Quantification for Wind Farm CFD simulations
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Job Description

The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado, is the nation’s primary laboratory for research and development of renewable energy and energy efficiency technologies. NREL is leading several projects on high-fidelity computational modeling of wind turbines and plants. There is an immediate opening for a post-doctoral researcher in uncertainty quantification (UQ) for wind farm CFD simulations. The post-doctoral researcher will work in a large multi-lab, multi-disciplinary team in developing UQ methods for high-fidelity time-domain simulations of wind farms. This position will be at the National Wind Technology Center, which is located near Boulder, Colorado.

Job duties and responsibilities:

The post-doctoral researcher will work with senior NREL researchers and a PhD student in developing uncertainty-quantification (UQ) methods for high-fidelity time-domain simulations of wind farms. The researcher will be part of a large multi-lab team that has funding through the DOE Office of Science/NNSA ExaWind Exascale Computing Project and the DOE Wind Energy Technologies Office Atmosphere to electrons project. Primary duties will be in establishing existing methods, and developing new methods, for UQ of simulation results, where simulations are performed with the Nalu computational fluid dynamics code and the OpenFAST turbine simulation code. The researcher will co-mentor a PhD student, and will be a key player in establishing the NREL UQ program for wind energy.

Additional Basic Required Knowledge, Skills and Abilities:

The position requires a PhD in applied mathematics, computational science, engineering, or equivalent, with a strong background the following areas: uncertainty quantification, computational fluid dynamics, high-performance computing, and expertise in at least one programming language. Also required are: excellent writing, interpersonal, and communication skills;

established publication record including peer-reviewed journal articles.

Preferred Qualifications:

The preferred candidate will have previous experience in the following areas: uncertainty quantification of simulations of turbulent flow, expertise in C++, knowledge of large-eddy simulation and aerodynamics, and knowledge of numerical methods in computational fluid dynamics, modern software engineering.


Required Education, Experience, and Skills

Must be a recent PhD graduate within the last three years.


Preferred Qualifications


Submission Guidelines

Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.


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About National Renewable Energy Laboratory

At 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.