Post Doc – Advanced Computational Methods & Simulation

Description

• Develop controls solutions for industrial applications e.g. Power generation, wind turbines, grid connected systems
• Collaborate closely with experimentalists and domain experts to ensure high-quality data integration and model calibration.
• 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.
• Independently conduct research and develop advanced computational models and simulation tools for complex physical systems, including multiphysics and multiscale phenomena.
• Develop and implement novel numerical algorithms, including machine learning-enhanced simulations and reduced-order modeling techniques.
• Support the development of proposals for GE Vernova businesses and government funding agencies.
• 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.
• Effectively communicate technical results through detailed reports, peer-reviewed publications, and presentations to internal teams and external stakeholders.
• Contribute to the advancement of GE’s digital engineering capabilities, including digital twins and model-based systems engineering.

Requirements

• Must be willing to work out of an office located in Niskayuna, NY.
• PhD in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Computational Science, or a related field such as controls, optimization, estimation, or detection algorithms.
• Proficiency in MATLAB/Simulink, C, C++, and Python.
• Familiarity with commercial and open-source simulation tools (e.g., ANSYS, OpenFOAM, COMSOL, Abaqus).
• Strong interpersonal and communication skills, with the ability to work across disciplines and engage with senior technical leaders and customers.
• Demonstrated understanding of thermal power plant and grid systems interactions with power plant equipment and control systems.
• Demonstrated experience with meshing strategies, numerical stability, and convergence analysis.
• Experience with high-performance computing (HPC) and parallel computing environments.
• Ability to adapt to evolving project requirements and fast-paced technology development cycles.
• 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.
• Demonstrated application of complex mathematics and engineering to real-world power operations
• Experience with machine learning and artificial intelligence techniques and the application of those in a control’s context
• Exposure to industrial control hardware programming and industrial control software development
• Background in machine learning or data-driven modeling applied to engineering systems.
• Proficiency in PyTorch and TensorFlow.
• Experience developing controls solutions for industrial applications
• Strong expertise in multiple computational domains: e.g. CFD, Multiphysics simulation.
• Proven record of innovation, as evidenced by publications, patents, or conference presentations.
• Innovate in the field of computational methods by exploring emerging technologies such as GPU-accelerated computing, uncertainty quantification, and real-time simulation.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance