Computational Methods Post Doctorate

GE Vernova•Elgin Township, IL
•$89,300 - $148,700•Onsite

About The Position

At GE Vernova Advanced Research, we invent and develop cross-cutting transformative technologies to enable a clean and sustainable new era of energy. As a Post Doc – Advanced Computational Methods & Simulation, you will contribute to the development and application of innovative computational techniques to solve complex engineering challenges across GE Vernova’s next-generation technology platforms. You will work in a collaborative, multi-disciplinary environment to advance simulation methodologies in areas such as physics-based modeling, high-fidelity numerical methods, data-driven modeling, and scientific machine learning for applications in power generation and electrification technology domains. Drawing on expertise in computational science and engineering, you will help drive innovation in simulation capabilities that support product design, optimization, and digital twin development for GE Vernova’s businesses and customers.

Requirements

  • PhD in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Computational Science, or a related field such as controls, optimization, estimation, or detection algorithms.
  • Legal authorization to work in the U.S. is required.
  • Must be willing to work out of an office located in Niskayuna, NY.
  • Must be 18 years or older.

Nice To Haves

  • At least 2 years of post-doctoral research experience in an industrial or laboratory setting with demonstrated capabilities in high-fidelity multiphysics modeling, machine learning methods, and high-performance computing.
  • Strong fundament knowledge of fluid mechanics, aerodynamics, turbulence, heat transfer, combustion, reactive flows etc.
  • Demonstrated capabilities in use of AI and scientific machine learning to automate and accelerate design, computations methods, and workflows.
  • Proficiency in Python, JAX, pyTorch, TensorFlow, FORTRAN, C++ etc.
  • Familiarity with commercial and open-source simulation tools (e.g., ANSYS, OpenFOAM, COMSOL, Abaqus).
  • Demonstrated experience with meshing strategies, numerical stability, and convergence analysis.
  • Ability to contribute to the development of research proposals to internal business units and external government agencies such as Department of Energy etc.
  • Proven record of innovation, as evidenced by publications, patents, or conference presentations.
  • Strong interpersonal and communication skills, with the ability to work across disciplines and engage with senior technical leaders and customers.
  • Ability to adapt to evolving project requirements and fast-paced technology development cycles.

Responsibilities

  • Independently conduct research and develop advanced computational models and simulation tools for complex physical systems, including multi-physics, multi-phase, and multiscale phenomena.
  • Apply and extend high-fidelity simulation methods such as computational fluid dynamics (single and multi-phase flows), heat transfer, reactive flows, and combustion using both commercial and proprietary software.
  • Develop and implement novel numerical algorithms, including machine learning enhanced simulations and reduced-order modeling techniques.
  • Participate in verification and validation activities to ensure model accuracy and robustness against experimental data.
  • Collaborate closely with experimentalists and domain experts to ensure high-quality data integration and model calibration.
  • Contribute to the advancement of GE Vernova’s digital engineering capabilities, including digital twins and model-based systems engineering.
  • Innovate in the field of computational methods by exploring emerging technologies such as GPU-accelerated computing, uncertainty quantification, and real-time simulation.
  • Effectively communicate technical results through detailed reports, peer-reviewed publications, and presentations to internal teams and external stakeholders.
  • Support the development of proposals for GE Vernova businesses and government funding agencies.
  • Connect GE Vernova to the latest advancements in computational science, ensuring alignment with global trends and academic breakthroughs.

Benefits

  • medical
  • dental
  • vision
  • prescription drug coverage
  • access to Health Coach from GE Vernova, a 24/7 nurse-based resource
  • access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
  • GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
  • access to Fidelity resources and financial planning consultants
  • tuition assistance
  • adoption assistance
  • paid parental leave
  • disability benefits
  • life insurance
  • 12 paid holidays
  • permissive time off

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service