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 _As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law._ _Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department._ _All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment._