CASY-MSCCN Jobs

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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