Postdoctoral Appointee – High-Fidelity CFD Modeling for Scale-resolving Simulations of Power Generation and Propulsion Systems
The Multiphysics Engine Computations group at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing high-fidelity CFD simulations of turbulent reacting flows for power generation and propulsion applications. The successful candidate’s research will involve synergetic collaborations with a multi-disciplinary team involving engine modelers and experimentalists, and computational scientists to enhance the predictive capability for next-generation engine modeling code.
Perform high-fidelity Computational Fluid Dynamics (CFD) simulations of turbulent combustion flows in gas turbine and internal combustion engines using spectral element method (SEM). Implement submodels for turbulence, two-phase flow, and combustion into SEM codes. Perform scalability studies and port these simulations on leadership class supercomputing resources, identify and improve the bottlenecks in scaling the simulations. Analyze large simulation datasets to gain new insights and develop reduced-order combustion and wall models with improved predictive accuracy.
Position Requirements
Ph.D. in mechanical/aerospace engineering, applied mathematics, chemical engineering, or a related discipline.
Expertise in Nek5000 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.
Understanding of high-order methods for fluid flows.
Understanding of turbulent combustion modeling.
Experience in geometry optimization and 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.
Preferred Qualifications:
Experience in interdisciplinary collaborative research.
Knowledge of large scientific code management and optimization is desirable.
Job Family
Postdoctoral FamilyJob Profile
Postdoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
Full timeAs an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
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