PhD Opportunity in AI-Driven Security for 5G/6G Networks at Concordia University

Concordia University in Montreal, Canada, is offering a PhD opportunity in AI-driven security for 5G/6G networks, led by Assistant Professor Abdelhak Bentaleb. The research project, in close collaboration with Ericsson, aims to automate security for resilient next-generation cellular networks by developing self-adaptive, fully automated security frameworks capable of detecting, reasoning, and responding to threats with minimal human intervention. The research spans systems, security, and AI at scale, focusing on real-world 5G/6G deployments. Applicants should have an MSc (or equivalent) in Computer Science, Electrical Engineering, or a related field, with a strong academic record and prior research experience, ideally with at least one publication. Solid foundations in networking, distributed systems, and AI/ML, as well as strong programming skills (C/C++, Rust, Python, PyTorch, CUDA, NVIDIA platforms), are required. Candidates should demonstrate a proactive, creative, and independent research mindset, and possess excellent written and spoken English skills. The position offers highly competitive PhD funding, full tuition coverage, close collaboration with Ericsson, and exposure to real 5G/6G systems. The research agenda is designed for top-tier publications, and students will benefit from a strong mentorship environment emphasizing research excellence and visibility. The start date is as early as 2026. To apply, candidates should send a cover letter (explaining their fit and motivation), a detailed CV, and unofficial transcripts (BSc & MSc) in a single email to Dr. Abdelhak Bentaleb at [email protected], using the subject line '[PhD-AutoSec: Your-Name]'. Key research areas include AI-driven security, 5G/6G networks, network security, automation, self-adaptive systems, distributed systems, and machine learning. This opportunity is ideal for research-driven candidates seeking to contribute to the future of cellular network security in a collaborative academic and industry environment.