Hongyu Wu
1 year ago
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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
United States
University
University of Kansas
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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.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Associate Professor
United States
Research Interests
Power System
Artificial Intelligence
Microgrid Technology
Distributed Energy
Machine Learning
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.