Postdoctoral Fellow

• AI and Machine Learning for Power Systems

  Postdoctoral Fellow – AI and Machine Learning for Power Systems

  University of California, Riverside

  Winston Chung Global Energy Center (WCGEC) and the Artificial Intelligence Research and Education Institute (RAISE)

   

  We invite applications for a Postdoctoral Fellow position focused on advancing the use of Artificial Intelligence and Machine Learning (AI/ML) in power systems.

  Minimum Qualifications:

  • Ph.D. in Electrical Engineering, Computer Science, or a related field.

  • Working knowledge of electric power systems.

  • Strong background in AI/ML methods and familiarity with the state-of-the-art.

  • Experience working with large datasets.

  • Strong publication record.

  • Ability to conduct independent research and work effectively in interdisciplinary teams.

   

  Preferred Qualifications:

  • Background in cyber-security, especially as it relates to energy systems.

  • Skills in analytical methods, stochastic modeling, and optimization.

  The successful candidate will engage in collaborative research between the Winston Chung Global Energy Center (WCGEC) and the Artificial Intelligence Research and Education Institute (RAISE).

   

  Application Process:

  Applications should be submitted through the following link: Application Form.

  Submissions will be reviewed as they are received. The position will remain open until filled or closed. Early applications are encouraged.

  For questions about the position, please contact WCGECEnergySystems@engr.ucr.edu.

   

  CAMPUS INFORMATION

  UCR is a world-class research university with an exceptionally diverse undergraduate student body. Its mission is explicitly linked to providing routes to educational success for underrepresented and first-generation college students. A commitment to this mission is a preferred qualification.

  The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law.

  As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.