Postdoctoral Appointee – Gas Turbine Modeling at Argonne National Laboratory

The Multi-Physics Computations group at Argonne National Laboratory is currently looking for a dedicated Postdoctoral Appointee to engage in advanced multi-physics and multi-scale CFD simulations of gas turbine engines. This role is housed within the Transportation and Power Systems Division of the Advanced Energy Technologies Directorate at Argonne.

Job Responsibilities

As a successful candidate, you will:

• Collaborate with a multidisciplinary team comprising computational fluid dynamics experts, gas turbine modelers, and experimentalists to enhance predictive capabilities of gas turbine modeling codes for both stationary power generation and propulsion applications.
• Perform multi-fidelity CFD simulations of gas turbines utilizing alternate fuels, including hydrogen and hydrogen carriers, by further developing in-house and commercial codes, leveraging high-performance computing (HPC).
• Develop Reduced-Order Models for predicting rare events, such as flame flashback and blowout.
• Conduct high-fidelity simulations of gas turbine combustors with gaseous fuels for stationary power generation, focusing on de-carbonization through carbon-less and low-carbon fuels.
• Create machine learning-based reduced-order models for predicting rare events, such as flame flashback.
• Work alongside a multidisciplinary team of experimentalists, CFD experts, and computational scientists to run simulations using next-generation supercomputing architectures.
• Present and publish results in peer-reviewed society technical reports, journal articles, and engage in meetings with key stakeholders.

Position Requirements

Applicants must meet the following criteria:

• Ph.D. in Mechanical/Aerospace Engineering, Chemical Engineering, Applied Mathematics, or a related discipline (0-3 years post Ph.D.).
• Expertise in gas turbine combustion theory and the application of liquid and gaseous fuels for turbines.
• Experience with machine learning software (TensorFlow, PyTorch, Julia, etc.) for reduced-order modeling and simulations, CFD, big data management and analysis, and parallel scientific computing.
• Ability to collaborate effectively with different divisions, laboratories, universities, and industry partners.
• Exceptional verbal and written communication skills across various organizational levels.

Candidates must embody Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

Preferred Qualifications

• Understanding of turbulence, chemical kinetics, reacting flow physics, and combustion modeling.
• Experience in simulating turbulent reacting flows in gas turbine combustors using CFD codes (e.g., CONVERGE, OpenFOAM, CharLES, etc.).
• Familiarity with high-order CFD methods and solvers.

Job Details

Job Family: Postdoctoral Family

Job Profile: Postdoctoral Appointee

Worker Type: Long-Term (Fixed Term)

Time Type: Full-time

Commitment to Diversity and Inclusion

As an equal employment opportunity and affirmative action employer, Argonne National Laboratory espouses a commitment to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. Argonne encourages minorities, women, veterans, and individuals with disabilities to apply.

Argonne considers all qualified applicants without discrimination based on age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status, or any other protected characteristic.

Additional Information

Argonne employees, certain guest researchers, and contractors may be subject to restrictions regarding participation in Foreign Government Sponsored or Affiliated Activities, as per U.S. Department of Energy Order 486.1A. Disclosure during the application phase is required for a legal review by Argonne's Legal Department.

All job offers are contingent upon a successful background check, which includes criminal conviction history assessed on a case-by-case basis.

Some positions may require obtaining a government access authorization involving additional background checks. Failure to obtain or maintain such authorization may result in the withdrawal of a job offer or termination