Postdoctoral Appointee – Engine Modeling

The successful candidate’s research will involve synergetic collaborations with a multidisciplinary team involving engine modelers and experimentalists, and computational scientists to enhance the predictive capability of engine modeling codes.

Perform Computational Fluid Dynamics (CFD) simulations of Internal Combustion Engine (ICE) fuel spray, ignition and combustion using High-Performance Computing (HPC) tools. Use Machine Learning tools to gain further insights into complex datasets that are generated. Explore the use of hybrid computing architectures for ICE simulations using commercial code CONVERGE.

Position Requirements

• Candidates must have a Ph.D. in mechanical/aerospace engineering, applied mathematics, chemical engineering, or a related discipline

• Knowledge of multi-dimensional code development (in C++/C/Fortran) for turbulent combustion modeling, internal combustion engine theory and operation, and parallel scientific computing is required.

• Knowledge of large scientific code management and optimization is desirable.

• Collaborative skills, including the ability to work well with other divisions, laboratories, and universities.

• Skilled in oral and written communications at all levels of the organization.

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

What will put you ahead:

• Experience in modeling and simulation of reacting flows in devices using CFD codes (e.g. CONVERGE, OpenFoam, etc.).

• Experience in spray and emission modeling.

• Experience in performing simulations on hybrid computing architectures.

• Experience in geometry manipulation with computer-aided design software.

Job Family

Postdoctoral Family

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

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.

Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination.