Hongyu Wu
1 year ago
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Cyber-Secure and Smart Energy Systems Kansas State University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The positions are fully funded, covering tuition and providing a stipend. No specific stipend amount is mentioned.
Deadline
Dec 28, 2026
Country
United States
University
University of Kansas
Suggested positions
Keywords
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. Led by Associate Professor Hongyu Wu, the group focuses on cutting-edge research in smart grid cyber-physical security, artificial intelligence and machine learning applications in power systems, stochastic optimization, and power system energy management. Students will benefit from a collaborative research environment, state-of-the-art facilities, and strong connections with industry, national labs, and federal agencies.
Applicants should have a strong background in electrical engineering, computer science, or related fields, and be highly motivated to pursue research in these areas. The positions are fully funded, including tuition and a stipend. To apply, send your CV to [email protected]. The application deadline is December 28, 2026.
Funding details
The positions are fully funded, covering tuition and providing a stipend. No specific stipend amount is mentioned.
What's required
Applicants should be highly motivated and interested in pursuing a PhD in topics 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. Candidates should have a relevant undergraduate or master's degree. No specific GPA, language test, 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.