Post Doc – Advanced Computational Methods & Simulation

Description

• Develop controls solutions for industrial applications e.g. Power generation, wind turbines, grid connected systems
• 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.
• Connect GE Vernova to the latest advancements in computational science, ensuring alignment with global trends and academic breakthroughs.
• Collaborate closely with experimentalists and domain experts to ensure high-quality data integration and model calibration.
• Independently conduct research and develop advanced computational models and simulation tools for complex physical systems, including multiphysics and multiscale phenomena.
• Support the development of proposals for GE Vernova businesses and government funding agencies.
• Effectively communicate technical results through detailed reports, peer-reviewed publications, and presentations to internal teams and external stakeholders.
• Develop dynamic models for advanced controls application, system optimization, estimation, and detection technologies
• Develop and implement novel numerical algorithms, including machine learning-enhanced simulations and reduced-order modeling techniques.
• Contribute to the advancement of GE’s digital engineering capabilities, including digital twins and model-based systems engineering.
• Participate in verification and validation activities to ensure model accuracy and robustness against experimental data.

Requirements

• PhD in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Computational Science, or a related field such as controls, optimization, estimation, or detection algorithms.
• Strong interpersonal and communication skills, with the ability to work across disciplines and engage with senior technical leaders and customers.
• Innovate in the field of computational methods by exploring emerging technologies such as GPU-accelerated computing, uncertainty quantification, and real-time simulation.
• Legal authorization to work in the U.S. is required; this role is not eligible for immigration or visa sponsorship. This position requires access to information and technology subject to U.S. export control laws. Consistent with U.S. export regulations, we can only consider applicants who are “U.S. persons” as defined by law.
• Experience with high-performance computing (HPC) and parallel computing environments.
• Proven record of innovation, as evidenced by publications, patents, or conference presentations.
• Proficiency in PyTorch and TensorFlow.
• Experience with machine learning and artificial intelligence techniques and the application of those in a control’s context
• Demonstrated application of complex mathematics and engineering to real-world power operations
• Proficiency in MATLAB/Simulink, C, C++, and Python.
• Must be willing to work out of an office located in Niskayuna, NY.
• Ability to adapt to evolving project requirements and fast-paced technology development cycles.
• Experience developing controls solutions for industrial applications
• Familiarity with commercial and open-source simulation tools (e.g., ANSYS, OpenFOAM, COMSOL, Abaqus).
• Strong expertise in multiple computational domains: e.g. CFD, Multiphysics simulation.
• Background in machine learning or data-driven modeling applied to engineering systems.
• Demonstrated experience with meshing strategies, numerical stability, and convergence analysis.
• Exposure to industrial control hardware programming and industrial control software development
• Demonstrated understanding of thermal power plant and grid systems interactions with power plant equipment and control systems.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance