Jobs for People with MS: National MS Society

Job Description Summary

GE Vernova’s Advanced Research business is the central innovation engine for GE’s portfolio of energy businesses, which is unified under one banner called GE Vernova. The research organization is made up of 250+ researchers representing virtually every major scientific and engineering discipline. Collectively, they are driving major research programs and initiatives to decarbonize power, accelerate renewables, and promote electrification and the creation of a 21st century grid fit to power a zero-carbon energy future.

We are seeking a talented Controls Systems Research Engineer specializing in advanced controls, estimation, and modelling. The ideal candidate will have a strong background in both physics-based and AI-based modelling techniques, along with a passion for pushing the boundaries of control systems technology. This role offers a unique opportunity to contribute to groundbreaking research and development efforts in a collaborative and dynamic environment.

Job Description

Roles and Responsibilities

• Work independently as well as with a diverse team and Conduct innovative research in the field of advanced controls, estimation, and modelling, with a focus on both physics-based and AI-based approaches. Stay abreast of the latest developments in control systems theory and apply cutting-edge techniques to solve complex engineering challenges.

• Design, develop, and implement advanced control algorithms for real-time applications.

• Leverage mathematical modelling techniques to create robust and efficient control strategies that optimize system performance and reliability.

• Validate performance of developed solution through simulations and application on target product to mature technology to be transferred to the business.

• Document technology and results through patent applications, technical reports, and publications.

• ​Work in a team environment with colleagues across GE Vernova Research, and GE Vernova business units.

Required Qualifications

• Master's or Ph.D. degree in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field.

• Strong theoretical foundation in control systems theory, estimation theory, and mathematical modelling.

• Proficiency in programming languages such as MATLAB, Simulink, Python, or C/C++.

• Experience with both physics-based modelling techniques (e.g., differential equations, state-space models) and AI-based modelling techniques (e.g., machine learning, neural networks).

• Excellent problem-solving skills and the ability to work independently as well as part of a team.

• Effective communication skills with the ability to present complex technical concepts to diverse audiences.

• Self-motivated and ability to work independently and as part of a team.

Desired Characteristics

• Demonstrated experience (algorithm development and software implementation) in developing systems solutions for complex physical systems.

• Strong analytical skills, familiarity with robust modelling/analysis techniques.

• Ability to communicate effectively with senior leadership.

• Prior experience in a research or development role focused on advanced controls, estimation, or modelling.

• Familiarity with industry-specific standards and regulations related to control systems design and implementation.

• Experience with hardware-in-the-loop (HIL) testing and real-time control systems.

• Knowledge of optimization techniques and numerical methods for system identification and parameter estimation.

Additional Information

Relocation Assistance Provided: Yes