Postdoctoral Appointee – Engine Modeling for Hydrogen Heat and Power Systems

The Multi-Physics Engine Computation Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee. The successful candidate will engage in collaborative research within a multidisciplinary team comprising engine modelers, CFD and AI/ML experts, and computational scientists. The primary focus will be on enhancing the predictive capability and scalability of multi-scale and multi-physics simulation codes.

The candidate will conduct multi-physics and multi-scale computational fluid dynamics (CFD) simulations for innovative internal combustion engines (ICEs) fueled with low/zero-carbon fuels and utilized in combined heat and power systems, leveraging high-performance computing (HPC) resources. Responsibilities include:

• Executing high-fidelity CFD simulations of ICEs’ in-cylinder processes, encompassing gaseous fuel injection, turbulent jet ignition, turbulent combustion, pollutant formation, and heat transfer phenomena.

• Optimizing combustion chamber geometry and operational parameters of ICEs to enhance thermal efficiency, throughput, and minimize emissions.

• Enhancing and developing CFD submodels in commercial CFD codes like CONVERGE to improve simulation predictive capability.

Position Requirements

• A Ph.D. in mechanical/aerospace engineering, chemical engineering, or a related discipline earned within the last three years.

• Knowledge in CFD modeling of turbulent reacting flows in advanced propulsion and energy conversion systems using CFD codes (e.g., CONVERGE, STAR-CD, OpenFOAM, etc.) is essential.

• In-depth understanding of combustion theory and modeling for ICEs, extensive knowledge of advanced ignition and combustion concepts, as well as a solid grasp of turbulence and chemical kinetics.

• Previous involvement in research collaborations with industry partners.

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

• Demonstrated collaborative abilities, including effective teamwork across divisions, laboratories, and universities.

• The successful candidate must embody and model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

Preferred Qualifications:

• Experience in multi-dimensional code development (in Fortran/C/C++) and parallel scientific computing on large-scale HPC platforms.

Job Family

Postdoctoral Family

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

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