Postdoctoral Fellowship in Explainable AI: The Kundur Research Group at the University of Toronto is seeking a highly motivated Postdoctoral Fellow to contribute to a collaborative industry project focusing on explainable AI (XAI) for enhancing cyber-physical security in industrial and operational technology environments.
Postdoctoral Fellowship in Explainable AI for Cyber-Physical Security
Designation
Postdoctoral Fellow
Research Area
- Explainable AI (XAI)
- Cybersecurity
- Intelligent Systems in Industrial Environments
Location
University of Toronto, Toronto, Canada
Eligibility/Qualification
- PhD in Computer Science, Electrical Engineering, or a related field
- Experience in operational technology and IT/OT simulation
- Knowledge of artificial intelligence and machine learning
- Understanding of cybersecurity principles (asset)
- Familiarity with AI governance and emerging policy (asset)
Job Description
The successful candidate will:
- Conduct innovative research on XAI-driven methodologies to enhance the security and reliability of intelligent systems.
- Engage with external collaborators and industry partners.
- Mentor graduate students in the research group.
- Work closely with the Principal Investigator (PI) to achieve the project’s objectives.
Term: 2 years
Start Date: January 2026
How to Apply
Interested candidates should send an email to Professor Deepa Kundur at dkundur@ece.utoronto.ca with the subject line: “Application for Postdoctoral Fellowship in Kundur Research Group.” In the email body, please include:
- An introduction of yourself
- Reasons for your interest in the opportunity and relevant experience
- Names and contact information of two references
Attach a recent CV or resume.
Last Date to Apply
Applications are encouraged as soon as possible; the position will remain open until filled.
