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Postdoctoral Appointee High-fidelity Scale-resolving CFD Simulations and Reduced Order Modeling[...]

Postdoctoral Appointee High-fidelity Scale-resolving CFD Simulations and Reduced Order Modeling[...]

Argonne National LaboratoryLemont, IL, US
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Postdoctoral Appointee High-fidelity Scale-resolving CFD Simulations and Reduced Order Modeling of Propulsion and Power Generation Systems

Join to apply for the Postdoctoral Appointee High-fidelity Scale-resolving CFD Simulations and Reduced Order Modeling of Propulsion and Power Generation Systems role at Argonne National Laboratory

The Multiphysics Computations Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing high-fidelity scale-resolving computational fluid dynamics (CFD) simulations and reduced order modeling of turbulent and reacting flows relevant to advanced propulsion and power generation systems, such as gas turbines and detonation engines.

Responsibilities will include :

  • Perform high-fidelity CFD simulations of turbulent and reacting flows pertaining to gas turbines and detonation engines using spectral element method (SEM).
  • Perform scalability studies and port these simulations to leadership class supercomputing platforms, identify and improve the bottlenecks in scaling the simulations.
  • Analyze large simulation datasets to gain new scientific insights and develop reduced order models (ROMs) for boundary layer flows and turbulent combustion.
  • Integrate ROMs with CFD solvers and demonstrate predictive accuracy compared to traditional modeling approaches.

Position Requirements

  • Recent or soon-to-be-completed (typically completed within the last 0-5 years) Ph.D. in mechanical / aerospace engineering, applied mathematics, chemical engineering, or a related discipline.
  • Expertise in Nek5000 / NekRS or other comparable spectral element method codes.
  • Experience in running high-fidelity simulations on leadership class supercomputers.
  • Knowledge of performing scalability studies to identify and improve bottlenecks in large codes.
  • Experience in development of data-driven reduced-order models in one or more of these areas : turbulence, boundary layer flows, combustion.
  • Understanding of high-order methods for fluid flows.
  • Understanding of turbulence, boundary layer flows, multi-phase flows, chemical kinetics, combustion, and detonations.
  • Experience in mesh generation with computer-aided design software.
  • Collaborative skills, including the ability to work well with other divisions, laboratories, and universities.
  • Ability to demonstrate strong written and oral communication skills at all levels of the organization.
  • A successful candidate must have the ability to model Argonne's Core Values : Impact, Safety, Respect, Integrity, and Teamwork.
  • This position requires an on-site presence at the Argonne campus in Lemont, Illinois.
  • Preferred Qualifications :

  • Experience in interdisciplinary collaborative research.
  • Knowledge of large scientific code management and optimization.
  • The expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only.

    Equal Employment Opportunity

    Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

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