Lingling Fan
3 months ago
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Fully Funded PhD Positions in Power Systems and Smart Grid Modeling at University of South Florida University of South Florida in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Multiple fully funded Ph.D. student openings beginning in Fall 2026.
Country
United States
University
University of South Florida

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About this position
Multiple fully funded PhD positions are open at the Smart Grid Power Systems (SPS) Lab at the University of South Florida for Fall 2026 entry.
The openings are in power systems, smart grids, and related areas, including high-fidelity modeling, simulation, and stability analysis of power systems, electric machines, and power electronic converters; measurement-based data analytics; data-driven dynamic modeling of power grids and power plants; software tool development; control hardware prototyping; hardware-in-the-loop (HIL) testing; and operational technology (OT) systems configuration for digital twin applications.
Applicants should have an M.S. degree in Electrical Engineering completed or expected before enrollment. Preferred preparation includes power systems, classic control theory, hardware design and implementation, programming and software development, strong analytical and problem-solving skills, and clear written and verbal communication.
The lab is led by Professor Lingling Fan at USF in Tampa, Florida. Interested candidates should apply through the Department of Electrical and Computer Engineering at USF and email [email protected] with a CV, transcript, and supporting evidence of research potential such as publications, project reports, software repositories, technical portfolios, or presentations.
This is a strong opportunity for students interested in power systems research, grid modeling, control, digital twins, and power electronics in a collaborative research environment.
Funding details
Multiple fully funded Ph.D. student openings beginning in Fall 2026.
What's required
Applicants should have an M.S. degree in Electrical Engineering completed or expected prior to enrollment. Preferred qualifications include a solid foundation in power systems, classic control theory, and/or hardware design and implementation; demonstrated programming experience and software development skills; strong analytical and problem-solving abilities; and excellent written and verbal communication skills. Applicants should also provide a CV, transcript, and supporting materials demonstrating research potential such as publications, project reports, software repositories, technical portfolios, or presentations.
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