Ontario Tech University’s Faculty of Business and Information Technology (FBIT) is recruiting MSc, PhD, and postdoctoral researchers for positions in Artificial Intelligence (AI), Machine Learning (ML), and Cybersecurity, starting in 2026 or 2027. The main supervisor is Dr. Li Yang, a recognized expert in AI and cybersecurity, listed among the World’s Top 2% Scientists and Computing’s Top 30 Early Career Professionals. Co-supervision may be provided by Dr. Khalil El-Khatib and other senior faculty 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, IoT systems, vehicular networks, AI/cybersecurity for business applications, adversarial machine learning, and more. The ANTS Lab is funded by NSERC, MITACS, OCE, NCC, and industry partners, and is known for cutting-edge research in IT networking and security, including smart city infrastructures, cloud/fog computing, biometric authentication, and network automation for 6G. Applicants should have a strong background in AI, ML, cybersecurity, or related fields, and hold a relevant degree for the position sought. Experience in deep learning, network security, IoT, or adversarial ML is highly valued. English proficiency is required. Funding is available, but specific stipend and tuition details are not listed. The application process is via a Google Form; email applications are not accepted. More information about the research group and programs can be found on the ANTS Lab and Dr. Yang’s websites. For more details, visit the ANTS Lab and Dr. Li Yang’s website . To apply, complete the Google Form . Only selected candidates will be contacted due to high application volume.

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.