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Researcher - Numerical Methods and CFD
National Renewable Energy Laboratory in Lakewood, Colorado
 
 
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Date Posted January 15, 2020
Category
Science-Engineering
Employment Type Full-time
Application Deadline Open until filled
 
 
 

Job Description

The National Renewable Energy Laboratory (NREL), located in the foothills of the Rocky Mountains in Golden and Boulder, Colorado, is the nation’s primary laboratory for research and development of renewable energy and energy efficiency technologies. NREL is continuing an active research and development program for high performance computing of wind turbine and wind farm dynamics as a joint effort between the National Wind Technology Center (NWTC) and the Computational Science Center (CSC).

NREL's Computational Science Center has an immediate opening for a Senior Researcher to pursue a research and development project with the goal of developing computational fluid dynamics (CFD) software to run on petascale and next-generation exascale computational hardware that will enable advances in our fundamental understanding of the flow physics governing whole wind plant performance, including wake formation, complex terrain impacts, and turbine-turbine-interaction effects. This position will be part of a large multi-lab team working to realize the project goals, with a specific focus on overset methods for incompressible flow CFD with structured and unstructured grids. The successful applicant will develop prototype implementations, characterize performance on cutting-edge hardware, and provide the data to support design decisions as the broader project proceeds.

The ideal candidate will have a solid background in large eddy simulation (LES) with complex, moving boundaries. Previous experience with developing CFD codes, and either experience or demonstrated interest in developing higher order methods.

Carrying out the required development and performance analysis will require strong parallel programming and algorithm development skills, with a working knowledge and keen interest in emerging architectures. Previous experience or formal training on the performance characteristics of devices such as GPGPUs or Intel Phi would be advantageous. Development in a collaborative environment with implementations in an existing code built upon the Trillinos framework will be part of the day-to-day activities for this position.

The successful candidate will make a critical contribution to the efforts to develop a simulation code that will help researchers to make transformative advances in understanding wind plant physics.

.Basic Qualifications

PhD in Mechanical Engineering and direct experience with the overset mesh technology, high order DG, and code coupling.

.Additional Qualifications

  • Demonstrates broad understanding and wide application of engineering technical procedures, principles, theories and concepts in the field.

  • General knowledge of other related disciplines. Demonstrates leadership in one or more areas of team, task or project lead responsibilities.

  • Demonstrated experience in management of projects. Very good writing, interpersonal and communication skills.

Preferred Qualifications

  • Experience in low-Mach-number/incompressible-flow CFD solvers.

  • Knowledge of numerical methods used in computational fluid dynamics.

  • Excellent writing, interpersonal, and communication skills.

  • Established publication record including peer-reviewed journal articles.

  • Experience with the C/C++ programming language.

  • Experience with overset methods in CFD.

  • Proficiency with MPI parallelism, and experience with OpenMP.

  • Experience in high-order finite-element/finite volume methods.

  • Experience with linear solvers, preconditioning approaches, and/or multi-grid methods.

  • Experience with load balancing and domain decomposition strategies.

  • Experience with large-eddy simulation and turbulence modeling.

  • Established practices of good software development, including developing and conducting unit and regression tests.

  • Experience with the Trilinos solver libraries.

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.

.EEO Policy

NREL is dedicated to the principles of equal employment opportunity. NREL promotes a work environment that does not discriminate against workers or job applicants and prohibits unlawful discrimination on the basis of race, color, religion, sex, national origin, disability, age, marital status, ancestry, actual or perceived sexual orientation, or veteran status, including special disabled veterans.

NREL validates right to work using E-Verify. NREL will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization.

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