Hongyu Wu

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.

The Cyber-Secure and Smart Energy Systems (CSSE) Group in the Department of Electrical & Computer Engineering at Kansas State University is recruiting highly motivated PhD students for fully funded positions starting 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, access to cutting-edge facilities, and strong partnerships with industry, national labs, and federal agencies. Applicants should have a strong academic background in electrical engineering, computer engineering, or related fields, and a keen interest in the listed research areas. Funding is fully provided, but specific details on stipend or tuition are not mentioned. To apply, send your CV to Professor Hongyu Wu at [email protected]. The application deadline is December 28, 2026.

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.