The successful candidate will support the Multi-Physics Computations section of the Advanced Propulsion and Power Department in the Transportation and Power Systems Division at Argonne.
Perform research and lead research projects focused on multi-dimensional internal combustion engine (ICE) modeling, by leveraging computational fluid dynamics (CFD) techniques and high-performance computing (HPC) resources.
Perform / lead research on high-fidelity simulations of complex physical processes in internal combustion engines (ICEs), such as fuel injection, combustion, etc.
Perform / lead the development of 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.
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).
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.
At least 1+ years of Postdoc / Industry experience after their PhD.
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.
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.
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 leading or co-leading research projects.
Experience with CFD modeling of H2 and / or NH3 internal combustion engines.
Experience with CONVERGE CFD software.
Job Family
Research Development (RD)
Job Profile
Computational Science 2
Worker Type
Regular
Time Type
Full time
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