Lingling Fan

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.

Multiple Fully Funded PhD Positions are available for Fall 2026 in the Smart Grid Power Systems (SPS) Lab at the University of South Florida . The lab, led by Prof. Lingling Fan , is recruiting outstanding PhD students interested in modern power systems and inverter-based resources. Research topics include power system modeling , simulation , stability analysis , data-driven modeling , analytics , software tool development , hardware-in-the-loop (HIL) testing , control prototyping , and digital twin applications . Applicants should have an M.S. in Electrical Engineering completed or expected before enrollment. A background in power systems , controls , hardware , and/or programming is preferred, along with strong analytical and communication skills. The post also highlights solid foundations in power systems and control theory, programming/software development experience, and the ability to clearly interpret and present technical results. The positions are described as fully funded . The announcement mentions world-class research facilities, strong industry collaborations, and excellent career development opportunities, but does not specify a stipend amount. To apply, candidates should use the USF ECE application process and email Lingling Fan with a CV, transcript, and supporting research materials such as publications, project reports, software repositories, technical portfolios, or presentations. Application window: Fall 2026.

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.