Post-Doctoral Fellow AF7753

Post-Doctoral Fellow Oklahoma State University (OSU) in Stillwater, Oklahoma, is seeking applications for a Post-Doctoral Researcher in the field of Power and Energy Systems with a strong focus on Artificial Intelligence and Machine Learning (AI/ML). This position offers the opportunity to work on NASA and DOE-funded projects in collaboration with a broad network of academic and industry partners. The successful candidate will engage in cutting-edge research at the intersection of power systems, control, AI/ML, and data-driven intelligence.

Required Qualifications

• Ph.D. in Electrical Engineering or a closely related discipline. (Candidates who have successfully defended their Ph.D. dissertation and are awaiting formal degree conferral are also eligible to apply.)
• Strong background in power and energy systems.
• Hands-on experience in control and AI/ML applications.
• Demonstrated record of high-quality publications.
• Ability to conduct independent research and collaborate in a multidisciplinary team environment.

Special Instructions to Applicants

• Interested and qualified candidates should apply online at https://jobs.okstate.edu. A single pdf file is requested with your application. The file should include:

• Your cover letter

• Your CV

• Three representative publications

• Names and contact information of three references

• Applications will be reviewed on a rolling basis; early submission is strongly encouraged.

• The position will remain open until filled.

About The Principal Investigator Dr. Hamid Nazari-Pouya, from the School of Electrical and Computer Engineering, leads multiple multidisciplinary research efforts focused on addressing critical challenges in power grid modernization, AI-enabled operations, and grid resilience. His work has been supported by leading agencies including NASA, NSF, DOE, and USDA, underscoring the broad impact and importance of his research. Dr. Nazari-Pouya’s expertise lies in power grid modernization, with emphasis on enhancing affordability, automation, sustainability, and resilience through the integration of advanced energy solutions, power electronics, artificial intelligence, control and optimization methods, and smart grid technologies.

For questions regarding the position, please contact [email protected] .