The Institute for Cybersecurity and Resilient Systems (ICRS) in the Faculty of Business and IT at Ontario Tech University, Canada, is inviting applications for Master of Science (MSc), PhD, and Postdoctoral positions in the research areas of Artificial Intelligence (AI), Machine Learning, and Cybersecurity. The positions are supervised by Dr. Li Yang, an Assistant Professor recognized among the world's top 2% scientists and Computing's Top 30 Early Career Professionals, and may be co-supervised by Dr. Khalil El-Khatib and other senior professors in the Advanced Networking Technology and Security (ANTS) Lab.

Research topics include machine learning, deep learning, AutoML, TinyML, large language models, 6G networks, next-generation cybersecurity, cybersecurity applications in IoT systems (including smart cities, IIoT, EV networks, and aerospace IoT), intrusion detection, anomaly detection, AI/ML model optimization, quantum machine learning, sustainable AI, edge AI, and adversarial machine learning and defenses. The ANTS Lab is known for its cutting-edge research in IT networking and security, with projects funded by NSERC, MITACS, OCE, NCC, and industry partners.

Applicants should have a strong background in AI, machine learning, cybersecurity, or related fields. MSc and PhD candidates must hold a relevant undergraduate or master's degree, while postdoctoral applicants require a completed PhD. Strong research skills and programming experience are preferred. Applications are accepted only via the provided Google Form; email applications are not considered due to high volume. Only selected candidates will be contacted.

Successful candidates will join a vibrant research environment with access to advanced facilities, interdisciplinary opportunities, and strong industry connections. More information about the programs and research can be found on the ANTS Lab and ICRS websites, as well as Dr. Li Yang's academic page. Funding details are not explicitly stated but are typically competitive for Canadian academic research positions.

To apply, complete the Google Form linked in the announcement. Review of applications is ongoing, so early submission is encouraged.