Hamid Nazaripouya

Oklahoma State University is advertising funded PhD positions in the School of Electrical and Computer Engineering / Power Grid Modernization Lab (PGML). The research areas include power systems , power electronics , control , artificial intelligence , machine learning , optimization, and data-driven energy innovation. The lab is led by Hamid Nazaripouya , Assistant Professor and Distinguished Fellow of ECE at Oklahoma State University. The post indicates that multiple positions are available for students to work on cutting-edge research projects in collaboration with academic and industry partners. Eligibility highlights: applicants should have a master’s degree in Electrical Engineering, Computer Engineering, or a closely related field. A strong background in power systems, power electronics, or control is required, along with experience in mathematics, AI/ML, or optimization techniques. Independent research ability, teamwork, and a strong academic record are expected. Prior research experience is preferred. The post also prefers domestic or international students already in the United States. Desired experience includes power system simulation tools such as PSLF, PSCAD, PowerWorld, or PSSE, hardware-in-the-loop real-time simulators, hands-on experience, and a publication record. Funding: the positions are funded PhD openings, but no stipend amount or full package details are listed. Application: apply through the linked form. Applications are reviewed on a rolling basis, so early submission is advisable. For questions, contact [email protected] .

Oklahoma State University is hiring a Postdoctoral Fellow in the School of Electrical and Computer Engineering for research at the intersection of power and energy systems , control , artificial intelligence , machine learning , and data-driven intelligence . The position is part of NASA- and DOE-funded projects and will involve collaboration with a broad network of academic and industry partners. The research emphasis includes grid modernization , AI-enabled operations , and resilience in modern power systems. Applicants should hold a Ph.D. in Electrical Engineering or a closely related field . Candidates who have defended and are awaiting degree conferral are also eligible. The post is best suited to researchers with a strong background in power and energy systems, practical experience applying control and AI/ML methods, a strong publication record, and the ability to lead independent research in a multidisciplinary environment. To apply, submit a single PDF with a cover letter, CV, three representative publications, and contact details for three references via the application link. Applications are reviewed on a rolling basis and the position remains open until filled. Questions can be directed to [email protected] .