1.  Fully Funded Ph.D. Position in Theoretical AI Control for Power Electronics (updated 07/02/2026)

I am seeking a highly self-motivated Ph.D. student for an NSF-funded research project on the theoretical foundations of neural network-based control for power electronic converters. 

This position is primarily focused on theoretical research. The successful candidate will develop new mathematical frameworks for neural network control, with an emphasis on Lyapunov-based stability analysis, nonlinear systems theory, optimization, and learning-enabled control. The research aims to establish rigorous stability and convergence guarantees for neural network controllers while advancing the theoretical foundations of intelligent control for next-generation power electronics.

Applicants should have a strong background in mathematics and control theory, along with solid programming skills. Ideal candidates should possess:

• A B.S. or M.S. degree (preferred) in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, or a closely related field

• Strong mathematical background in Lyapunov theory, differential equations, optimization, and control systems

• Strong programming skills in MATLAB/Simulink (C/C++ experience is a plus)

• Prior research experience in control theory, machine learning, reinforcement learning, or applied mathematics is highly desirable

This position emphasizes theoretical analysis and algorithm development rather than hardware implementation or embedded programming. Applicants with strong interests in theoretical control, applied mathematics, and machine learning are particularly encouraged to apply. 

Interested applicants should email xfu@unr.edu with the subject line:

"Ph.D. Application – Your Name"

Please include:

• Curriculum Vitae (CV) 

• Academic transcripts (unofficial transcripts are acceptable for initial review)

• Overall GPA

• List of relevant coursework

• Description of research and/or industrial experience

• List of publications (preferred)

• GRE scores 

• TOEFL/IELTS scores (for international applicants): Satisfying the following SPEAK test is preferred: TOEFL Speaking score: 24 or higher, IELTS Speaking score: 7.5 or higher. 

Applications will be reviewed on a rolling basis until the position is filled.