University of Nevada Reno
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Fully Funded PhD in Theoretical AI Control for Power Electronics University of Nevada, Reno in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD opening supported by an NSF-funded project.
Country
United States
University
University of Nevada Reno

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About this position
Fully funded PhD opening at the University of Nevada, Reno in a research group led by Xingang Fu. The project is NSF-funded and focuses on theoretical AI control for power electronics.
Research topics include neural network-based control, Lyapunov stability analysis, nonlinear systems, optimization, and learning-enabled control. This opportunity is especially suitable for applicants with a strong background in mathematics and control theory.
This is a PhD opening, and the post indicates it is fully funded. No deadline is stated in the post. Interested candidates should use the application information link provided by the poster.
Funding details
Fully funded PhD opening supported by an NSF-funded project.
What's required
Applicants should be highly motivated PhD candidates with a strong background in mathematics and control theory. The project focuses on neural network-based control, Lyapunov stability analysis, nonlinear systems, optimization, and learning-enabled control.
How to apply
Review the application information at the provided link and follow the instructions there. Prepare to apply as a PhD student for the NSF-funded research group opening at UNR.
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