Modeling and Simulation Intern - Summer 2026
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About this role
Job Description Summary
Come and join our powerful, unified force with the energy to change the world. Our mission is BIG.
Our TRANSFORMATION is key – bringing the right businesses together to LEAD the ENERGY TRANSITION. Our TEAM is ready.
Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. Building on over 130 years of experience tackling the world’s challenges, GE Vernova is uniquely positioned to help lead the energy transition by continuing to electrify the world while simultaneously working to decarbonize it. GE Vernova helps customers power economies and deliver electricity that is vital to health, safety, security, and improved quality of life.
Job Description
As a Modeling and Simulation Intern, you will join a multidisciplinary team addressing the complex challenges of integrating AI data centers with power plants and electrical grids. You will develop models and modeling libraries that will be used to solve complex controls problems that are created by rapid changes in grid frequency. You will also have opportunities to develop new models that help to validate emission control issues that are also exacerbated by rapid load changes in gas turbine power plants. These models will be used to enhance operational resilience and stability across interconnected systems, using advanced machine learning and model-based engineering approaches.
Project Outcomes:
- Collaborate with GE Vernova’s Controls & Electrical Systems teams to design to implement models that will aid in the validation of innovative control strategies for variable grid strength and dynamic load demands.
- Develop and validate model libraries that will be used to accurately model multi load and generating equipment.
- Perform estimation of system parameters using plant data, electrical models, physics-based simulations, and advanced control algorithms.
- Analyse and address electrical and mechanical challenges arising from AI data center integration with power plants and grids.
- Contribute to scenario development for adapting power generation controls to evolving grid conditions.
Primary Skills Developed:
- Lead the development of electrical model libraries and electrical system models that will be used to investigate scenarios for variable grid strength adaptation.
- Gain exposure to cutting-edge research in power system control, electrical modelling, and real-time system optimization.
- Build expertise in power generation operational challenges, control techniques, and next-generation energy system integration.
Basic Qualifications:
- Currently pursuing a bachelor's or master’s in Electrical Engineering, Chemical Engineering, Mechanical Engineering, Controls Engineering, Computer Science, or a related field.
- Minimum GPA of 4.0/5.0.
Desired Qualifications:
- Foundational knowledge and Demonstrated interest on modeling and analysis of electrical networks.
- Strong analytical and problem-solving skills, with experience in modelling, simulation, or algorithm development as part of studies or projects.
- Ability to work collaboratively in multidisciplinary and research-driven environments.
- Proficiency in programming languages such as C/C++, Python, R, or similar, for algorithm development, data analysis, and simulation.
- Exposure to power plant control systems, grid modelling, and turbine control operational challenges.
- Familiarity with AI data Center load profiles and their impact on electrical grid and power plant operations.
- Working knowledge of real-world power system simulation tools.
- Strong communication and presentation skills for cross-functional and academic collaboration.