Amged Al Ezzi
3 months ago
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Fully Funded PhD Positions in Electrical Power Systems, Smart Grids, and Digital Twins at University of South Florida University of South Florida in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Several fully funded PhD positions are available beginning in Fall 2026.
Country
United States
University
University of South Florida

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About this position
Fully funded PhD opportunities are available at the Smart Grid Power Systems Laboratory (SPS Lab), University of South Florida, starting in Fall 2026.
Admitted students will work on research in Electrical Engineering, especially power systems, smart grids, digital twins, control systems, power electronics, electrical machinery, hardware-in-the-loop (HIL), operational technology (OT), data-driven modeling, and software development for electrical networks.
The lab highlights high-fidelity modeling, simulation, stability analysis, measurement-based data analytics, control hardware prototyping, and digital twin applications for modern power grids and power plants. The SPS Lab also emphasizes collaboration with utilities, industry, national laboratories, and universities.
Eligibility: applicants should hold an M.S. in Electrical Engineering or be expected to complete it before enrollment. Preferred experience includes power systems, control theory, hardware design, programming/software development, data analytics, problem solving, and strong communication skills.
Funding: the positions are described as fully funded.
How to apply: email Prof. Lingling Fan at [email protected] with a CV, transcript, and supporting documents such as publications, project reports, GitHub repositories, presentations, or technical portfolios.
Funding details
Several fully funded PhD positions are available beginning in Fall 2026.
What's required
Applicants must have an M.S. in Electrical Engineering or be expected to complete it before enrollment. Preferred qualifications include a strong foundation in power systems, classic control theory, and/or hardware design and implementation, demonstrated programming and software development skills, strong analytical and problem-solving ability, and excellent written and verbal communication skills. Applicants should be able to provide evidence of research potential through publications, project reports, software repositories, technical portfolios, or presentations.
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