Publisher
source

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.

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Country

United States

University

University of Nevada Reno

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Keywords

Computer Science
Electrical Engineering
Mathematics
Artificial Intelligence
Nonlinear Systems
Optimisation
Power Electronic

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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.

More information can be found here

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