Publisher
source

Hongyu Wu

5 months ago

Smart grid cyber-physical security, Artificial intelligence & machine learning in power systems, Stochastic optimization, Power system energy management Kansas State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

The PhD positions are fully funded. No specific details on stipend amount or tuition coverage are provided, but full funding is explicitly stated.

Deadline

Dec 28, 2026

Country flag

Country

United States

University

University of Kansas

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Where to contact

Official Email

Keywords

Computer Science
Electrical Engineering
Smart Grid Technology
Artificial Intelligence
Energy Efficiency
Stochastic Programming
Power System
Cyber-physical System
Machine learning

About this position

The Cyber-Secure and Smart Energy Systems (CSSE) group at Kansas State University is recruiting fully funded PhD students for Fall 2026. Research areas include smart grid cyber-physical security, artificial intelligence and machine learning in power systems, stochastic optimization, and power system energy management. Students will benefit from a collaborative research environment, advanced facilities, and strong industry and government connections.

Applicants should have a strong background in electrical engineering, computer science, or related fields and be highly motivated to pursue research in these areas. To apply, send your CV to Associate Professor Hongyu Wu at [email protected]. The positions are fully funded, though specific financial details are not provided. The application deadline is December 28, 2026.

Funding details

The PhD positions are fully funded. No specific details on stipend amount or tuition coverage are provided, but full funding is explicitly stated.

What's required

Applicants should be highly motivated and interested in pursuing a PhD in areas such as smart grid cyber-physical security, artificial intelligence, machine learning in power systems, stochastic optimization, and power system energy management. A strong background in electrical engineering, computer science, or related fields is preferred. No specific GPA, language, or other requirements are mentioned.

How to apply

Send your CV directly to [email protected] to express interest in the position. Follow up for further application instructions if needed.

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