University of Virginia
1 week ago
PhD Position in Cybersecurity and Systems at University of Virginia (DART Lab) University of Virginia in United States
PhD Position in Cybersecurity and Systems at University of Virginia (DART Lab)
University of Virginia
United States
Dec 28, 2025
Keywords
Computer Science
Information Technology
Cybersecurity
Threat Intelligence
Systems
Forensics
PhD
Description
The DART Lab at the University of Virginia, led by Wajih Ul Hassan, is recruiting a PhD student for the Fall 2026 admission cycle. The lab focuses on developing scalable, data-driven solutions for robust threat detection and detailed forensic investigation in cybersecurity. Research areas include enhancing the operational efficiency of Security Operations Centers (SOCs), responding to sophisticated cyber threats, and advancing systems security. The position is ideal for candidates interested in deep systems work with real-world security impact. Applicants are encouraged to mention Md. Aminul Islam in their application. The program does not require GRE scores and has no application fee. For more information about the lab's research, visit the DART Lab website. This opportunity is best suited for students with a strong background in computer science, cybersecurity, or related fields who are passionate about research in cyber threat detection and response. The University of Virginia offers a collaborative research environment and access to cutting-edge resources in cybersecurity and systems research.
Funding
Available
How to apply
Apply through the provided application link for the University of Virginia PhD program. Mention Md. Aminul Islam's name in your application. No GRE or application fee is required. Review the DART Lab page for research fit.
Requirements
Applicants should be interested in deep systems work with real security impact. No GRE scores are required and there is no application fee. Specific degree or GPA requirements are not mentioned, but a strong background in computer science, cybersecurity, or related fields is likely preferred.
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