Experience:
Not specified
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Employment Type:
Full time
Posted:
12/5/2018
Job Category:
Education-Teaching
Industry:
Government
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Postdoctoral Researcher: Enhancement of Exascale Combustion Codes
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Job Description

The high performance computing and complex fluids group in the NREL Computational Science Center has an opening for multiple postdoctoral researchers to develop and implement algorithms to enable large eddy simulation (LES) of reacting flows in internal combustion engines including moving boundaries. These positions offer the successful applicants the opportunity to be part of the team developing Pele, a forward looking combustion simulation code supported by the DOE exascale computing project. The successful candidates will collaborate with NREL staff and researchers from other national labs working on these codes to enable the use of a hierarchy of simulation fidelities and costs ranging from workstation to leadership computing to aid the design and optimization of combustion in next generation IC engines.

The successful candidate will be expected to disseminate new modeling ideas and applications in technical journals and presentations at leading conferences.

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Required Education, Experience, and Skills

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

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Preferred Qualifications

Preferred qualifications

  • Expertise in block-structured mesh algorithms with Adaptive Mesh Refinement techniques.
  • Expertise using and developing cut cell/embedded boundary/immersed boundary approaches for modeling complex geometry.
  • Demonstrable experience in development and implementation of low-Mach and fully compressible flow simulation algorithms.
  • Experience with moving geometry techniques such as ALE is desirable.
  • Experience in modeling turbulence and reacting flows in IC engines. Successful candidate should be aware of advanced concepts in IC engine technology.
  • Experience with development of codes in heterogeneous computing platforms such as GPU based supercomputing systems. Strong programming skills including experience with C++, C, and Fortran on high performance computing platforms.
  • Knowledge and experience in algorithms for CAD/STL geometry preparation for Cartesian cut cell methods
  • Experience using AI techniques to build engineering models describing complex systems
  • Experience with unstructured grid based discretization and numerical techniques such as discontinuous Galerkin (DG) methods.

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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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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.

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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.