Postdoctoral Researcher
1 week ago
The Advanced Energy Technologies Directorate at Argonne National Laboratory is seeking a highly skilled postdoctoral researcher to join the Multi-Physics Computations group. The successful candidate will be part of a multidisciplinary team working on the development of multi-physics and multi-scale CFD simulations of gas turbine engines.
The researcher will be responsible for performing high-fidelity simulations of gas turbine combustors using alternate fuels, including hydrogen and hydrogen carriers. The goal is to enhance the predictive capability of gas turbine modeling codes for stationary power generation and propulsion applications.
The ideal candidate will have a strong background in computational fluid dynamics, gas turbine combustion theory, and experience with high-performance computing. They will also be expected to collaborate with experimentalists, computational scientists, and other researchers to run simulations using next-generation supercomputing architectures.
Key Responsibilities:
- Perform high-fidelity simulations of gas turbine combustors using alternate fuels.
- Develop machine learning-based reduced-order models for predicting rare events, such as flame flashback.
- Collaborate with a multidisciplinary team to run simulations using next-generation supercomputing architectures.
- Publish results in peer-reviewed society technical reports, journal articles, and meetings with key stakeholders.
Requirements:
- Ph.D. in Mechanical/Aerospace Engineering, Chemical Engineering, Applied Mathematics, or a related discipline.
- Strong background in computational fluid dynamics and gas turbine combustion theory.
- Experience with high-performance computing and machine learning software.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Understanding of turbulence, chemical kinetics, reacting flow physics, and combustion modeling.
- Experience with simulation of turbulent reacting flows in gas turbine combustors using CFD codes.
- Experience with high-order CFD methods and solvers.
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