Postdoctoral Appointee Low-Carbon Fuel Sprays and Engine Combustion Modeling

The Multiphysics Computation Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee. The successful candidates research will involve synergistic collaborations with a multidisciplinary team comprised of fellow postdoctoral appointees and staff scientists with computational fluid dynamics (CFD) and artificial intelligence / machine learning (AI / ML) expertise, with the goal to enhance predictive capability and scalability of multi-scale and multi-physics simulation codes.

The prospective postdoctoral appointee will perform multi-physics and multi-scale CFD simulations of complex systems involving modeling of multi-phase flows, turbulent combustion, heat transfer, combustion, and emissions of low-carbon propulsion systems by further developing commercial / in-house codes and high-performance computing (HPC).

• Develop accurate and computationally efficient CFD models to simulate the chain of physics and chemistry involved with fuel injection, fuel-air mixing, turbulent combustion, and emissions of propulsion systems.
• Perform simulations of turbulent combustion in combustion engines involving fuel sprays, spray-wall interaction, fuel-air mixing, combustion, and emission modeling.
• Perform high-fidelity reacting simulations that involve both conventional and low-carbon fuels, with emphasis on alcohol-based, bio-, and renewable fuels.
• Improve the computational efficiency and accuracy of physics-based and data-driven models for liquid fuel injection and spray-wall interaction and integrate them in simulations of direct injection engines.
• Work as a part of a multidisciplinary team involving experimentalists, CFD experts, and computational scientists to enable cutting-edge CFD modeling & simulations on the next generation supercomputing architectures.
• Position Requirements
• Ph.D. in mechanical / aerospace engineering, applied mathematics, chemical engineering, or a related discipline earned no more than three years ago is required.
• Experience in modeling and simulation of three-dimensional multiphase turbulent reacting flow applications using 3-D CFD codes (e.g., CONVERGE, OpenFOAM, Ansys Fluent, etc.).
• Excellent understanding of sprays, spray-wall interaction, turbulence, chemical kinetics, reacting flow physics, and turbulent combustion modeling.
• Extensive knowledge of fuel properties and their effects on fluid behavior in reacting and non-reacting flow applications.
• Understanding of combustion engine theory and modeling.
• The candidate must demonstrate good collaborative skills, including the ability to work well with other divisions, laboratories, and universities.
• Skilled in communication at all levels of the organization.
• The successful candidate is expected to present and publish results in peer reviewed society technical reports and journal articles.
• A successful candidate must have the ability to model Argonnes Core Values : Impact, Safety, Respect, Integrity, and Teamwork.

Preferred Qualifications :

Postdoctoral Family

Postdoctoral Appointee

Long-Term (Fixed Term)

Full time

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