Summary
The Faculty of Computer Science at the University of New Brunswick invites applications for a full-time Postdoctoral Fellow position in Secure AI and Adversarial Machine Learning. The opportunity is hosted by the Trustworthy and Secure AI (TSAI) Lab and offers researchers the chance to work on cutting-edge projects involving robust machine learning, AI security, privacy, and attack-defense mechanisms. The initial appointment is for one year, with the possibility of extension based on funding availability and performance.
Postdoctoral Fellow in Secure AI & Adversarial Machine Learning, University of New Brunswick, Canada
Designation
Postdoctoral Fellow (PDF) – Secure AI & Adversarial Machine Learning
Research Area
- Secure Artificial Intelligence (AI)
- Adversarial Machine Learning
- Robust Machine Learning
- Cybersecurity
- AI Security and Privacy
- Trustworthy AI
- Machine Learning Defense Mechanisms
Location
Trustworthy and Secure AI (TSAI) Lab
Faculty of Computer Science
University of New Brunswick
Fredericton, New Brunswick, Canada
Eligibility / Qualification
Applicants must meet the following requirements:
- PhD in Computer Science or a closely related field.
- Expertise in Adversarial Machine Learning, Secure AI, or related research areas.
- PhD degree must have been awarded within the last five years prior to appointment.
- Strong programming and experimental research skills.
- Demonstrated research experience in machine learning, cybersecurity, privacy, or allied domains.
- Strong publication record in leading venues such as ICML, NeurIPS, AAAI, ICLR, IEEE SaTML, USENIX Security, IEEE S&P, and IEEE TPAMI, or clear potential to publish at this level.
- Ability to conduct independent research and contribute to high-impact projects.
- Proof of language proficiency for international applicants.
Job Description
The selected Postdoctoral Fellow will:
- Conduct advanced research in Secure AI and Adversarial Machine Learning.
- Collaborate closely with Dr. Roozbeh Razavi-Far and TSAI Lab researchers.
- Develop novel attack and defense techniques for machine learning systems.
- Participate in collaborative research projects with leading European research groups.
- Publish research findings in top-tier international conferences and journals.
- Contribute to ongoing funded projects while building an independent research profile.
- Help advance research in AI security, privacy, and trustworthy machine learning.
Fellowship Benefits
- Annual salary of CAD $60,000 – $75,000, depending on qualifications, experience, and research achievements.
- Opportunity to collaborate internationally with renowned researchers.
- Access to active research funding and immediate project engagement.
- Flexible environment to develop an independent research agenda.
- Strong support for publishing in high-impact venues.
How to Apply
Applicants must submit a single email application with the subject line:
“Postdoc Application (TSAI)”
The application package must include:
- Detailed Curriculum Vitae (CV)
- One or two selected publications (PDF format)
- Research statement (approximately one page) outlining research plans for the next 1–2 years
- Proof of language proficiency (for international applicants)
- Contact information of three referees (email, address, and phone number)
Shortlisted candidates will later be asked to provide two recommendation letters.
Send Applications To
Dr. Roozbeh Razavi-Far, PhD
Associate Professor of Computer Science
Director, TSAI Lab
University of New Brunswick, Canada
Email: roozbeh.razavi-far@unb.ca
Important Notes
- Applicants should indicate whether they are currently based in Canada.
- If applicable, mention current work authorization status and earliest possible start date.
- Incomplete applications will not be considered.
- Applications submitted through LinkedIn or other platforms will not be accepted.
- Preference will be given to Canadian citizens and permanent residents.
Last Date for Apply
31 May 2026
Expected Start Date
July 2026
