Lingzhi Wang
1 week ago
Fully Funded PhD in AI for Cybersecurity at University of South Carolina University of South Carolina in United States
Degree Level
PhD
Field of study
Computer Science
Funding
1–2 fully funded PhD students are being recruited. The post states the positions are fully funded; no stipend amount is given.
Deadline
Oct 31, 2027
Country
United States
University
University of South Carolina

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About this position
Lingzhi Wang, Assistant Professor in the Department of Integrated Information Technology at the University of South Carolina, is recruiting 1–2 fully funded PhD students in AI for cybersecurity starting in Spring or Fall 2027.
The research directions include provenance-based intrusion detection, automated penetration testing and attack emulation, building datasets, benchmarks, and testbeds for security evaluation, and studying the security of LLMs and autonomous agents. This is a strong fit for students interested in the intersection of computer science, machine learning, LLMs, and cybersecurity.
Ideal applicants should have a BS or MS in CS, cybersecurity, or a related field, be comfortable coding in Python and Linux, and ideally have some research exposure such as a thesis, paper, or independent project. ML frameworks are a plus.
The positions are described as fully funded. No stipend amount is listed in the post.
To apply, email the professor with the subject line "PhD [Spring/Fall] 2027 — Your Name". Include your transcript, CV, a short paragraph on which research direction interests you and why, and a link to something you have built (for example GitHub, a paper, or a project page).
For Spring 2027, the application deadline is October 31. For Fall 2027, the deadline is April 2027.
Funding details
1–2 fully funded PhD students are being recruited. The post states the positions are fully funded; no stipend amount is given.
What's required
Applicants should have a BS or MS in CS, cybersecurity, or a related field. They should be hard-working, self-driven, and curious, comfortable writing code in Python and Linux, with ML frameworks as a plus. Some research exposure is preferred, such as a thesis, a paper, or an independent project.
How to apply
Email the professor with the subject line "PhD [Spring/Fall] 2027 — Your Name". Include your transcript, CV, one paragraph explaining which research direction interests you and why, and a link to something you have built such as GitHub, a paper, or a project page.
More information can be found here
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