NREL Postdoctoral Researcher – Overset Methods for Wind Farm CFD simulations in Boulder, Colorado

Posting Title

Postdoctoral Researcher – Overset Methods for Wind Farm CFD simulations



CO - Boulder


Position Type

Postdoc (Fixed Term)


Hours Per Week



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 in the National Wind Technology Center for a post-doctoral researcher in overset methods for wind farm CFD simulations. The post-doctoral researcher will work in a large multi-lab, multi-disciplinary team in developing overset methods for high-fidelity time-domain simulations of wind farms.

The Postdoctoral Researcher will work with senior NREL researchers in developing overset 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 overset methods, and developing new methods, where simulations are performed with the open-source Nalu-Wind computational fluid dynamics code and the OpenFAST turbine simulation code. Nalu-Wind is an unstructured-grid incompressible-flow (low-Mach number) code.


Basic Qualifications

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

A PhD in applied mathematics, aerodynamics, mechanical engineering, or relevant.


Additional Qualifications

Experience in low-Mach-number and/or incompressible flow solvers.

Knowledge of numerical methods used in computational fluid dynamics.

Established publication record in peer-reviewed journals.

Expertise in C++.

Preferred Qualifications

The preferred candidate will have (1) expertise in overset methods in large-eddy simulations, (2) experience in computational fluid dynamics on next-generation platforms (e.g., GPU), (3) experience with the Kokkos programming model, (4) experience working with or developing Poisson solvers for CFD applications, (5) knowledge of aerodynamics, especially in the area of wind energy, and (6) expertise in modern software engineering methods.


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