Postdoctoral Appointee - CFD and Machine Learning for Detonation Engine Modeling - Military Veterans

at Argonne National Laboratory

Lemont, Illinois

The Multiphysics Computation Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee. The successful candidate's research will involve synergistic collaborations with a multidisciplinary team involving engine modelers, CFD and AI/ML experts, and computational scientists to enhance the predictive capability and scalability of multi-scale and multi-physics simulation codes.

Develop turbulent combustion modeling approaches augmented with machine learning (ML) for computational fluid dynamics (CFD) simulations of supersonic turbulent reacting flows in rotating detonation engines (RDEs) operating on low/zero-carbon fuels. Demonstrate the capability of novel CFD-ML frameworks to speed up full-scale simulations of RDEs. Import and accelerate frameworks on leadership class supercomputing platforms.

Position Requirements
  • Ph.D. in mechanical/aerospace engineering, chemical engineering, or a related discipline.
  • Understanding of chemical kinetics, compressible reacting flows, and turbulent combustion modeling is required. Expertise in the development and application of machine learning tools in one or more of these areas is a plus.
  • Background and expertise in CFD modeling of turbulent reacting flows within energy conversion systems (e.g., internal combustion engines, gas turbine combustors, detonation engines, etc.) using CFD solvers (e.g., CONVERGE, OpenFOAM, Fluent, etc.) on large-scale HPC platforms is required.
  • Demonstrated background and experience in the development of machine learning algorithms and software (in TensorFlow, PyTorch, Julia, etc.) for surrogate-assisted modeling, management and analysis of big data, and parallel scientific computing is highly desirable.
  • Collaborative skills, including the ability to work well with other divisions, laboratories, and universities.
  • Ability to demonstrate strong written and oral communication skills.
  • A successful candidate must have the ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

What will put you ahead:
  • Experience in interdisciplinary collaborative research.

Job Family
Postdoctoral Family

Job Profile
Postdoctoral Appointee

Worker Type
Long-Term (Fixed Term)

Time Type
Full time

As 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.

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Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination.

Lemont, Illinois

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