Postdoctoral Appointee – CFD and Machine Learning for Detonation Engine Modeling

Argonne National Laboratory

Argonne, IL

ID: 7116762 (Ref.No. 414487)
Posted: November 23, 2022
Application Deadline: Open Until Filled

Job Description

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

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Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.