Postdoctoral Appointee - Heavy-Duty Internal Combustion Engine Modeling
Core
Develop and enhance multi-scale, multi-physics CFD simulation codes for heavy-duty internal combustion engines using HPC to improve predictive capability for fuel injection, combustion, and emissions.
Role type
Postdoctoral Researcher (Computational Fluid Dynamics & Combustion Modeling)
Builds
Physics-based and data-driven CFD models for propulsion systems
Domain
Energy / Heavy-Duty Internal Combustion Engines / Computational Fluid Dynamics
Deliverable
production ML models
Required skills
3-D CFD modeling, multiphase turbulent reacting flow, fuel spray dynamics, chemical kinetics, high-performance computing (HPC), C++/C/Fortran code development, deep machine learning (TensorFlow/PyTorch)
Preferred skills
Alternative fuel modeling, CAD geometry manipulation, multi-dimensional code development, agentic AI for multi-fidelity modeling, industry partner research collaboration
Technologies
CONVERGE, OpenFOAM, Ansys Fluent, TensorFlow, PyTorch, High-Performance Computing clusters
Responsibilities
Develop accurate physics-based and data-driven CFD models for fuel injection and combustion; Perform high-fidelity reacting flow simulations using HPC; Integrate improved spray models into propulsion system simulations; Collaborate with experimentalists and AI/ML specialists; Publish results in peer-reviewed journals and reports.
Seniority
Postdoctoral (0-5 years post-PhD)
