Support the Multi-Physics Computations (MPC) section of the Advanced Propulsion and Power Department in the Transportation and Power Systems Division (TAPS) Perform multi-physics and multi-scale simulations applied to internal combustion engine (ICE) modeling, by leveraging computational fluid dynamics (CFD) techniques, high-performance computing (HPC) resources, and by using and developing in-house and commercial CFD 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 sub-models necessary to enable predictive ICE simulations, specifically for low-carbon fuels (e.g., H2), when using commercial or open-source CFD software (e.g., CONVERGE or similar).

　　Interact with the Nek5000 community to import these advanced CFD models from Nek into CONVERGE and/or viceversa.

　　Work on Argonne LCRC and ALCF computing resources as part of 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).

　　Supervise postdocs and students on multiple projects when available.

　　Collaborate with other staff scientists, postdocs, and students in the group, and with researchers in other divisions and directorates.

　　Present and publish results in peer reviewed society technical reports and journal articles.

　　Actively seek out proposal writing opportunities with DOE and other agencies.

　　Participate and lead proposals with industry and academia.

　　Explore new research opportunities in the decarbonized end-use sectors.

　　Position Requirements

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

　　Candidates should have 2+ years of Postdoc experience.

　　Knowledge of ICE modeling using CFD software (commercial or open-source).

　　Knowledge and experience with high performance computing (HPC).

　　Knowledge of multi-phase flow, turbulent combustion, and heat transfer modeling.

　　Knowledge and experience with CFD code development (in Fortran/C/C++).

　　Knowledge of parallel scientific computing (MPI, OpenMP).

　　Ability to meet project needs and tight deadlines.

　　Ability to handle challenging tasks independently.

　　Demonstrated leadership skills to pursue new research opportunities.

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

　　Collaborative skills, including the ability to work well with other divisions.

　　A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

　　Preferred Qualifications:

　　Experience with industry projects.

　　Experience with CONVERGE software.

　　Job Family

　　Research Development (RD)

　　Job Profile

　　Computational Science 2

　　Worker Type

　　Regular

　　Time Type

　　Full time

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