Post-Doctoral Researcher - Controls and Artificial Intelligence

Job Description Summary

As a Post Doc - Controls / AI, you will enable the Energy Transition through the development of models, advanced controls, optimization, and AI. You will contribute to R&D programs aligned with GE Vernova's energy businesses such as Renewable Energy, Gas Power, Grid Solutions, and Power Conversion as well as with U.S. Government Agencies.

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 power the energy transition. We forge the partnerships and 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 technology partners 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

This is a 12-month Post-Doctoral Researcher position.

Job Description

Required Qualifications:

• Ph.D. in Electrical or Computer Engineering
• Minimum GPA 3.5 / 4.0 scale
• Proficiency in MATLAB, C, and Python
• AI / Reinforcement Learning Experience
• Stochastic Optimization Experience
• Must be 18 years of age or older
• Legal authorization to work in the US is required. We are unable to provide sponsorship for employment visas, now or in the future, for this job opening
• Must be willing to work out of an office located in Niskayuna, NY
• You must submit your application for employment on the careers site at www.careers.gevernova.com to be considered

• Experience with machine learning and artificial intelligence techniques and the application of those in a controls context
• Strong track-record of first-author publications in reputable academic journals and conferences
• Experience in several of the following topics: Machine Learning and Deep Learning; Signal, Image and Video Processing; Edge, Distributed and Collaborative Computing; Communications and Networking; Real-Time Systems;
• Hands-on experience with software development, simulations, parallel/GPU computation, and cloud computing services.
• Interest in writing grant proposals