Postdoctoral Appointee – Engine Modeling
- Argonne National Laboratory
- Location: Argonne, IL
- Job Number: 7106039 (Ref #: 413744)
- Posting Date: Jul 21, 2022
- Application Deadline: Open Until Filled
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.
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 FamilyPostdoctoral Family
Job ProfilePostdoctoral Appointee
Worker TypeLong-Term (Fixed Term)
Time TypeFull time
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