Post Doc – Advanced Computational Methods & Simulation

GE Vernova • Town of Niskayuna, NY

77d

About The Position

As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business’s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova’s businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. As a Post Doc – Advanced Computational Methods & Simulation, you will contribute to the development and application of cutting-edge 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; this role is not eligible for immigration or visa sponsorship.
• Must be willing to work out of an office located in Niskayuna, NY.

Nice To Haves

• Experience with machine learning and artificial intelligence techniques and the application of those in a control’s context.
• Experience developing controls solutions for industrial applications.
• Exposure to industrial control hardware programming and industrial control software development.
• Strong expertise in multiple computational domains: e.g. CFD, Multiphysics simulation.
• Experience with high-performance computing (HPC) and parallel computing environments.
• Proficiency in MATLAB/Simulink, C, C++, and Python.
• Proficiency in PyTorch and TensorFlow.
• Demonstrated understanding of thermal power plant and grid systems interactions with power plant equipment and control systems.
• Demonstrated application of complex mathematics and engineering to real-world power operations.
• Familiarity with commercial and open-source simulation tools (e.g., ANSYS, OpenFOAM, COMSOL, Abaqus).
• Demonstrated experience with meshing strategies, numerical stability, and convergence analysis.
• Background in machine learning or data-driven modeling applied to engineering systems.
• 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 multiphysics and multiscale phenomena.
• Apply and extend high-fidelity simulation methods such as computational fluid dynamics (single and multi-phase flows), heat transfer, and combustion using both commercial and proprietary software.
• Develop and implement novel numerical algorithms, including machine learning-enhanced simulations and reduced-order modeling techniques.
• Develop controls solutions for industrial applications e.g. Power generation, wind turbines, grid connected systems.
• Develop dynamic models for advanced controls application, system optimization, estimation, and detection technologies.
• 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’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

• Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services.
• Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants.
• Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree