Postdoctoral Appointee – Engine Modeling for Hydrogen Heat and Power Systems
- Argonne National Laboratory
- Location: Lemont, USA
- Job Number: 7218173 (Ref #: 417395)
- Posting Date: Feb 16, 2024
Job Description
The Multi-Physics Engine Computation Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee. The successful candidate will engage in collaborative research within a multidisciplinary team comprising engine modelers, CFD and AI/ML experts, and computational scientists. The primary focus will be on enhancing the predictive capability and scalability of multi-scale and multi-physics simulation codes.
The candidate will conduct multi-physics and multi-scale computational fluid dynamics (CFD) simulations for innovative internal combustion engines (ICEs) fueled with low/zero-carbon fuels and utilized in combined heat and power systems, leveraging high-performance computing (HPC) resources. Responsibilities include:
Executing high-fidelity CFD simulations of ICEs’ in-cylinder processes, encompassing gaseous fuel injection, turbulent jet ignition, turbulent combustion, pollutant formation, and heat transfer phenomena.
Optimizing combustion chamber geometry and operational parameters of ICEs to enhance thermal efficiency, throughput, and minimize emissions.
Enhancing and developing CFD submodels in commercial CFD codes like CONVERGE to improve simulation predictive capability.
Position Requirements
A Ph.D. in mechanical/aerospace engineering, chemical engineering, or a related discipline earned within the last three years.
Knowledge 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 essential.
In-depth understanding of combustion theory and modeling for ICEs, extensive knowledge of advanced ignition and combustion concepts, as well as a solid grasp of turbulence and chemical kinetics.
Previous involvement in research collaborations with industry partners.
Skilled written and oral communication skills at all levels of the organization.
Demonstrated collaborative abilities, including effective teamwork across divisions, laboratories, and universities.
The successful candidate must embody and model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Preferred Qualifications:
Experience in multi-dimensional code development (in Fortran/C/C++) and parallel scientific computing on large-scale HPC platforms.
Job Family
Postdoctoral FamilyJob Profile
Postdoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
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