Fully Funded MSc and PhD Opportunities in Cybersecurity, Machine Learning, and IoT Security at Ontario Tech University.

Are you passionate about cybersecurity, artificial intelligence, and IoT security? Ontario Tech University in Canada is currently inviting applications for fully funded MSc and PhD positions in the field of Network and IT Security, Computer Science, and Machine Learning for IoT systems.

This is a rare opportunity to join the Institute for Cybersecurity and Resilient Systems (ICRS) within Ontario Tech’s Faculty of Business and IT. Successful candidates will be supervised by world-renowned cybersecurity experts Dr. Li Yang and Dr. Khalil El-Khatib, whose work has made significant contributions to AI/ML-driven security, IoT systems, and data privacy.

📌 Application Deadline: December 20, 2024
📌 Level of Study: MSc & PhD
📌 Location: Ontario Tech University, Ontario, Canada
📌 Funding: Fully Funded (research-based assistantship + tuition coverage)

About the Supervisors

🔹 Dr. Li Yang

• Assistant Professor, Faculty of Business & IT, Ontario Tech University.
• Ph.D. in Electrical & Computer Engineering, Western University.
• Research expertise: cybersecurity, deep learning, AutoML, intrusion detection, IoT, anomaly detection, continual learning, adversarial ML, and 6G security.
• Ranked among the World’s Top 2% Scientists by Stanford/Elsevier.
  👉 Visit Personal Website | Google Scholar

🔹 Dr. Khalil El-Khatib

• Professor of Information Security and Director, ICRS.
• Research expertise: big data analytics, wireless sensor networks, biometrics, mobile ad hoc networks, vehicular networks, smart grid security, and ubiquitous computing.
• Listed among the World’s Top 2% Scientists by Stanford/Elsevier.
  👉 Google Scholar

Research Focus

The MSc and PhD students will contribute to groundbreaking projects in:

• Machine Learning and Cybersecurity for IoT systems
• AI/ML-driven intrusion detection systems
• 5G and 6G network security
• EV charging infrastructure security
• Data privacy and adversarial ML defenses

Projects are funded to enhance real-world applications, making this program an ideal stepping stone for careers in academic research, cybersecurity industries, and advanced AI-driven technologies.

Candidate Profile

Applicants should demonstrate:
✔ Strong background in machine learning, cybersecurity, and IoT
✔ MSc applicants with project experience in ML/AI
✔ PhD applicants with peer-reviewed publications in ML and cybersecurity
✔ Excellent academic records (priority will be given to candidates with strong transcripts)

💡 Note: While all qualified candidates are encouraged to apply, priority will be given to Canadian citizens, permanent residents, and Indigenous applicants already based in Canada.

How to Apply

Applicants must submit the following documents:

• CV and academic transcripts
• Brief statement of research experience and/or career goals
• (Optional) List of publications

📧 Email applications to: li.yang2@ontariotechu.net
📌 Email subject format: MSc/PhD Application – Full Name – (e.g., MSc Application – John Smith)

🔗 Program Details:

• MSc in Computer Science
• PhD in Computer Science
• Institute for Cybersecurity & Resilient Systems (ICRS)
• Advanced Networking Technology and Security (ANTS) Lab

Why Ontario Tech University?

Ontario Tech University is committed to equity, diversity, inclusion, and accessibility. The university actively welcomes applications from First Nations, Métis, Inuit, Indigenous peoples of North America, racialized groups, women, LGBTQ+, and persons with disabilities.

With its research-driven environment and Canada’s growing demand for cybersecurity professionals, Ontario Tech provides the perfect platform for graduate students to excel in both academic and industry careers.

Conclusion

If you are ready to make impactful contributions to AI, cybersecurity, and IoT security, Ontario Tech University’s fully funded MSc and PhD positions provide an outstanding opportunity.

📅 Deadline: December 20, 2024
🚀 Take the next step in your academic career—apply today and join a team shaping the future of secure digital systems.