The Multiphysics Computation Section within the Transportation and Power Systems Division 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, computational fluid dynamics (CFD) experts, and computational scientists to enhance the predictive capability and scalability of multi-scale and multi-physics simulation codes.
Develop turbulent combustion models for predictive CFD simulations of combustion dynamics in rotating detonation engines (RDEs) operating on high-hydrogen content fuels.
Develop turbulent combustion modeling approaches for predictive CFD simulations of extreme events (such as, flame flashback) in gas turbine combustors operating on high-hydrogen content fuels with up to 100% hydrogen. Leverage simulation datasets to develop an understanding of extreme event precursors.
Demonstrate the capability of computational modeling frameworks to accelerate full-scale simulations of advanced stationary power generation turbine engines. Import and accelerate CFD simulation workflows on leadership class supercomputing platforms.
Position Requirements
Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical/aerospace engineering, chemical engineering, or a related discipline.
Onsite presence is required.
Understanding of chemical kinetics, turbulent reacting flows, detonations, and turbulent combustion modeling is required.
Background and expertise in CFD modeling of turbulent reacting flows within energy conversion systems (e.g., gas turbine combustors, detonation engines, reciprocating engines, etc.) using CFD solvers (e.g., CONVERGE, Nek5000/NekRS, OpenFOAM, ANSYS Fluent, etc.) on large-scale HPC platforms is required.
Collaborative skills, including the ability to work well with other divisions, laboratories, and universities.
Ability to demonstrate strong written and oral communication skills.
Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.
Ability to make our laboratory a safe, welcoming, inclusive, and accessible environment where all can thrive.
Preferred Qualifications:
Experience in interdisciplinary collaborative research.
Understanding of extreme combustion events in gas turbines.
Background and expertise in reduced-order manifold-based (flamelet) combustion models for turbulent reacting flows.
Development and application of machine learning tools in one or more of these areas: chemical kinetics, turbulent combustion, and extreme event prediction.
Job Family
Postdoctoral Family
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
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