Summary
The Data Security and Privacy Lab at Virginia Tech is seeking a highly motivated Postdoctoral Associate to advance the foundations and applications of secure, privacy-aware, and reliable AI systems. This position focuses on AI for cybersecurity and cybersecurity and privacy for AI.
Postdoctoral Associate in AI for Cybersecurity and Privacy for AI, Blacksburg, Virginia
Designation
Postdoctoral Associate
Table
| Details | Information |
|---|---|
| Research Area | AI for cybersecurity, cybersecurity and privacy for AI |
| Location | Blacksburg, Virginia |
| Salary | $63,000 – $73,000 |
| Hours per week | 40 |
| Appointment Type | Restricted |
| Review Date | May 20, 2026 |
Eligibility/Qualification
Required Qualifications
- PhD in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field (awarded no more than four years prior to the effective date of appointment).
- Strong research background in machine learning, cybersecurity, privacy, or related areas.
- Demonstrated publication record in relevant peer-reviewed venues (e.g., CODASPY, Neurips, ICML, ICLR).
- Strong programming and experimental skills.
- Ability to work independently and collaboratively.
Preferred Qualifications
- Experience with large language models, trustworthy AI, or adversarial machine learning.
- Experience with graph neural networks and cybersecurity applications (e.g., intrusion detection, malware analysis).
Job Description
The successful candidate will work closely with the lab director, Dr. Kantarcioglu, students, and research collaborators on various projects, including:
- AI for cybersecurity using machine learning and large language models.
- Privacy-preserving machine learning and data protection.
- Graph neural networks concerning robust learning, security, and privacy issues.
How to Apply
Interested applicants should submit their application materials through the designated channels at Virginia Tech, ensuring they include all required documentation and references.
Last Date to Apply
Applications will be accepted until the position is filled, with a review date of May 20, 2026.
