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Postdoctoral Researcher

2 months ago

Lemont, Illinois, United States Argonne National Laboratory Full time
Job Summary

The Multiphysics Computation Section at Argonne National Laboratory is seeking a highly skilled postdoctoral researcher to join our team. The successful candidate will contribute to cutting-edge research in low-carbon fuel injection and engine modeling, working closely with a multidisciplinary team of experts in computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML).

Key Responsibilities
  • Develop and implement advanced CFD models to simulate complex systems involving low-carbon fuel injection, turbulent combustion, and heat transfer.
  • Perform high-fidelity simulations of combustion engines, focusing on fuel sprays, spray-wall interaction, fuel-air mixing, combustion, and emission modeling.
  • Collaborate with experimentalists, CFD experts, and computational scientists to develop and integrate physics-based and data-driven models for liquid fuel injection and spray-wall interaction.
  • Contribute to the development of next-generation CFD modeling and simulation tools for low-carbon propulsion systems.
  • Present and publish research results in peer-reviewed technical reports and journal articles.
Requirements
  • Ph.D. in mechanical/aerospace engineering, applied mathematics, chemical engineering, or a related discipline earned within the past three years.
  • Experience in modeling and simulation of three-dimensional multiphase turbulent reacting flow applications using 3-D CFD codes.
  • Strong understanding of sprays, spray-wall interaction, turbulence, chemical kinetics, reacting flow physics, and turbulent combustion modeling.
  • Excellent knowledge of fuel properties and their effects on fluid behavior in reacting and non-reacting flow applications.
  • Understanding of combustion engine theory and modeling.
  • Excellent communication and collaboration skills, with the ability to work effectively with a multidisciplinary team.
Preferred Qualifications
  • Knowledge of and experience with modeling alcohol-based, bio-, and renewable fuels.
  • Experience in geometry manipulation with computer-aided design software.
  • Experience with coupling CFD and FEA codes.
  • Knowledge of multi-dimensional code development for two-phase/multiphase flow and turbulent combustion applications.
  • Knowledge of deep machine learning for multi-fidelity modeling and parallel scientific computing.
About Argonne National Laboratory

Argonne National Laboratory is a leading research center in the field of energy and environmental sciences. Our team is dedicated to advancing the development of low-carbon propulsion systems and reducing greenhouse gas emissions.