Postdoctoral Appointee – Non-Road Engine Combustion Modeling
Job posting number: #7162230 (Ref:416307)
Posted: August 17, 2023
Application Deadline: Open Until Filled
The Multi-Physics Computation Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee. The successful candidate’s research will involve synergistic collaborations with a multidisciplinary team involving engine modelers, CFD and AI/ML experts, and computational scientists to enhance the predictive capability and scalability of multi-scale and multi-physics simulation codes.
The candidate will perform multi-physics and multi-scale computational fluid dynamics (CFD) simulations for novel internal combustion engines (ICEs) fueled with low/zero-carbon fuels and used in combined heat and power systems and chemical reforming systems by leveraging high-performance computing (HPC) resources.
Perform high-fidelity CFD simulations of ICEs’ in-cylinder processes involving gaseous fuel injection, turbulent jet ignition, turbulent combustion, pollutant formation, and heat transfer phenomena.
Perform optimization of combustion chamber geometry and operational parameters of ICEs to achieve higher efficiency, desired throughput, and lower emissions.
Improve and develop CFD submodels in commercial CFD codes such as CONVERGE to improve the predictive capability of simulation.
Ph.D. in mechanical/aerospace engineering, chemical engineering, or a related discipline earned no more than three years ago is required.
Expertise in CFD modeling of turbulent reacting flows in advanced propulsion and energy conversion systems using CFD codes (e.g., CONVERGE, STAR-CD, OpenFOAM, etc.) is required.
Knowledge of ICEs’ combustion theory and modeling, extensive knowledge of advanced ignition and combustion concepts for ICEs, as well as good understanding of turbulence, chemical kinetics are required.
Experience in multi-dimensional code development (in Fortran/C/C++) and parallel scientific computing on large-scale HPC platforms is highly desirable.
Experience in carrying out research tasks with industry partners.
Ability to demonstrate strong written and oral communication skills.
Collaborative skills, including the ability to work well with other divisions, laboratories, and universities.
A successful candidate must have the ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Job FamilyPostdoctoral Family
Job ProfilePostdoctoral Appointee
Worker TypeLong-Term (Fixed Term)
Time TypeFull time
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