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Mingming Chen

1 month ago

Computer Science Kansas State University in United States

I am recruiting two fully funded PhD students in cybersecurity, SDN, and smart agriculture.

University of Kansas

United States

email-of-the@publisher.com

Dec 28, 2026

Keywords

Computer Science
Environmental Science
Agriculture
Information Technology
Cybersecurity
Software-defined Networking
Security And Privacy
Network Slicing

Description

Mingming Chen, Assistant Professor at Kansas State University, is recruiting two fully funded PhD students for his research lab. The positions focus on cutting-edge topics such as the security of Software Defined Networking (SDN) and programmable data planes, network slicing, privacy protection, and SDN-driven smart agriculture. The lab offers a collaborative environment for students interested in cybersecurity and the intersection of computer science and agriculture. Funding includes full tuition coverage and a stipend, with no specific amount mentioned. Applicants should be motivated and have a strong interest in the listed research areas; while no explicit requirements are stated, a background in computer science or related fields is likely preferred. The application deadline is December 28, 2026, for Fall 2026 entry. Interested candidates are encouraged to contact Prof. Chen directly at mingc@ksu.edu or apply through the university portal. Sharing the opportunity within academic and professional networks is welcomed.

Funding

Two fully funded PhD positions are available, covering tuition and providing a stipend. No specific stipend amount is mentioned.

How to apply

Interested candidates should reach out directly to mingc@ksu.edu or apply through the university's application portal. Sharing the opportunity within networks is encouraged.

Requirements

Applicants should be motivated and interested in pursuing a PhD in cybersecurity, SDN, network slicing, privacy protection, or smart agriculture. No specific degree, GPA, or language requirements are mentioned, but a strong background in computer science or related fields is likely preferred.

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