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Postdoctoral Associate

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Blacksburg, 24061

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Postdoctoral Associate

Postdoctoral Associate

Company:
Virginia Tech

Job Location:
Blacksburg, 24061

Category:
Computer Science

Type:
Full-Time

Job Description

The Data Security and Privacy Lab at Virginia Tech invites applications for a Postdoctoral Associate position in the areas of AI for cybersecurity, and cybersecurity and privacy for AI. The position is intended for a highly motivated researcher interested in advancing the foundations and applications of secure, privacy-aware, and reliable AI systems.

The postdoctoral researcher will work closely with the lab director Dr. Kantarcioglu, students, and research collaborators on projects at the intersection of machine learning, AI, security, and privacy. The position offers the opportunity to contribute to both theoretical and applied research, publish in leading venues, and help shape new research directions in these areas.

The successful candidate is expected to contribute to one or more of the following areas:

  • AI for cybersecurity, including the use of machine learning and large language models for cyber defense.
  • Privacy for AI, including privacy-preserving machine learning, privacy risks in model training and deployment, data protection, and auditing or evaluation of privacy mechanisms.
  • Graph neural networks, including robust learning on graph-structured data, security and privacy issues in GNNs, graph-based anomaly detection, and trustworthy graph machine learning.

Required Qualifications

  • PhD in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field.
  • PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
  • Strong research background in machine learning, cybersecurity, privacy, graph machine learning, or a related area.
  • Demonstrated publication record in relevant peer-reviewed venues (e.g., CODASPY, Neurips, ICML, ICLR, VLDB, ICDE, SIGMOD, CCS, Usenix Security, NDSS ).
  • Strong programming and experimental skills.
  • Ability to work independently as well as collaboratively in a research group environment.

Preferred Qualifications

  • Experience with large language models, trustworthy AI, adversarial machine learning, or privacy-preserving learning.
  • Experience with graph neural networks and graph-based data analysis.
  • Experience with cybersecurity applications such as intrusion detection, malware analysis, threat intelligence, or security operations.
  • Interest in interdisciplinary and applied research with real-world impact.

Overtime Status
Exempt: Not eligible for overtime

Appointment Type
Restricted

Salary Information
$63,000-$73,000

Hours per week
40

Review Date
May 20, 2026

Additional Information
The successful candidate will be required to have a criminal conviction check.

If you are an individual with a disability and desire an accommodation, please contact Joseph Morgan at jmorgan99@vt.edu during regular business hours at least 10 business days prior to the event.

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