Master’s Position in AI-driven Cybersecurity for IoT Systems at York University York University in Canada

York University is inviting applications for a Master’s student position in a research project focused on AI-driven cybersecurity for Internet of Things (IoT) systems. The successful candidate will work under the supervision of Assistant Professor Amirali Amirsoleimani and A Habibi. The research involves developing advanced intrusion detection models, generating realistic IoT datasets, and analyzing multi-attack scenarios using state-of-the-art machine learning and transformer-based techniques.

This position offers hands-on experience with real-world cybersecurity challenges, including data collection, feature engineering, and model evaluation. It is an excellent opportunity for students interested in network security, artificial intelligence, and IoT systems to contribute to impactful research with both academic and practical outcomes.

Eligibility is limited to Canadian citizens or permanent residents. Applicants should have a strong background and motivation in AI, cybersecurity, IoT, or related fields. To apply, candidates must email a cover letter, CV, and transcript of grades to the supervisors by April 31, 2026. No specific GPA or language test requirements are mentioned.

For more information, you may refer to the LinkedIn profile of Professor Amirali Amirsoleimani. This position is ideal for students seeking to advance their expertise in AI-driven cybersecurity and IoT research at York University.