Postdoctoral Fellow – AI and Machine Learning for Power Systems (Riverside)

The Winston Chung Global Energy Center (WCGEC), in collaboration with the Artificial Intelligence Research and Education Institute (RAISE), invites applications for a Postdoctoral Fellow position focused on advancing the integration of Artificial Intelligence and Machine Learning (AI/ML) techniques in electric power systems. This is an opportunity to contribute to cutting-edge research at the intersection of energy and intelligent systems in a collaborative and interdisciplinary setting. The initial appointment will be for two years, with the possibility of renewal based on performance and availability of funding.

Applicants must hold a Ph.D. in Electrical and Computer Engineering, Computer Science, or a closely related field by the time of appointment. Successful candidates will have demonstrated knowledge of electric power systems, strong foundation in AI/ML techniques and familiarity with current research trends, experience working with large and complex datasets, a proven track record of research publications, and the ability to work independently and collaboratively in a team environment. Preferred qualifications include a background in cyber-security, particularly in the context of energy systems, and experience with analytical methods, stochastic modeling, or optimization.

To apply, candidates should submit a cover letter, a curriculum vitae (CV), and optionally, three letters of reference. Applications must be submitted through AP Recruit at . Full consideration will be given to applications received by July 15, 2025. Selected applicants will be invited to interview via Zoom.

Postdoc salary ranges from $66,737 to $80,034 annually, depending on experience upon start. The posted UC salary scales set the minimum pay determined by experience level. See Postdoctoral Scholar Salary Scale, Table 23 - , (see: )

For more information, please visit for the Winston Chung Global Energy Center (WCGEC) and for the Intelligence Research and Education Institute (RAISE). Additional details regarding postdoctoral studies at UC Riverside can be found at .