Publisher
source

Hongyu Wu

1 year ago

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 flag

Country

United States

University

University of Kansas

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Smart Grid Technology
Artificial Intelligence
Cybersecurity
Energy Efficiency
Stochastic Programming
Energy Security
Power System

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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Professors

Associate Professor

University Name
Country flag

United States

Research Interests

Power System

Artificial Intelligence

Microgrid Technology

Distributed Energy

Machine Learning