The Multi-Physics Computations group at Argonne National Laboratory is seeking to hire a postdoctoral appointee on the topic of CFD modeling of internal combustion engines fueled by low-carbon fuels (H2, NH3). The successful candidate will leverage high-performance computing (HPC) resources at the Laboratory to perform CFD simulations of low-carbon fuel injection, mixing, combustion, and emissions.

The successful candidate’s research will involve synergistic collaborations within a multidisciplinary team comprised of fellow postdoctoral appointees and staff scientists with computational fluid dynamics and machine learning expertise, with the goal to enhance predictive capability and scalability of multi-scale and multi-physics simulation codes.

Perform high-fidelity CFD simulations of complex physical processes in internal combustion engines (ICEs), such as fuel injection, combustion, heat transfer, etc.

Improve, develop, and implement CFD sub-models necessary to enable predictive ICE simulations, specifically for low-carbon fuels (e.g., H2, NH3), when using commercial or open-source CFD software (e.g., CONVERGE or similar).

Work in a multidisciplinary team involving engine modelers and computational scientists to run the simulations at-scale using both current large clusters and the next generation supercomputing architectures.

Work to consistently meet priorities and deadlines set by the research sponsor(s).

Collaborate with other staff scientists and postdocs in the group.

Position Requirements

Ph.D. in mechanical/aerospace/energy engineering, applied mathematics, chemical engineering, or a related discipline.

Experience with modeling three-dimensional multiphase turbulent reacting flow applications using CFD codes (e.g., CONVERGE, OpenFOAM, etc.).

Experience with multi-dimensional CFD internal combustion engine modeling.

Knowledge of low-carbon fuels (H2, NH3) chemical and physical properties.

Knowledge and experience with high performance computing.

Knowledge and experience with CFD code development.

Knowledge of parallel scientific computing.

Ability to meet project needs and tight deadlines.

Present and publish results in peer reviewed papers and/or journal articles.

Skilled verbal and written communication skills at all levels of the organization.

Collaborative skills at all levels of the organization.

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 with CFD modeling of H2 and/or NH3 internal combustion engines.

Experience with CONVERGE CFD software.

Experience in geometry manipulation with computer-aided design software.

Job Family

Postdoctoral Family

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

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