⛔ This position is no longer available.
University: Concordia University
Country: Canada
Deadline: 2026-06-15
Fields: Wireless Communications, Signal Processing, AI/Machine Learning, Optimization, Network Security
Are you passionate about shaping the future of wireless communications and eager to advance your research career in a globally connected academic environment? If your ambition is to contribute to the next generation of 6G networks and artificial intelligence-driven wireless systems, an exceptional opportunity awaits you at Concordia University in Montreal, Canada.
About the University or Research Institute
Concordia University is one of Canada’s leading public institutions, renowned for its innovative research and dynamic academic community. Located in the vibrant city of Montreal, Concordia consistently ranks among the top universities in the country for both research output and student satisfaction. The university is home to the Gina Cody School of Engineering and Computer Science, which has established itself as a hub for cutting-edge research in wireless communications, artificial intelligence, and advanced network technologies.
Montreal itself is a multicultural metropolis known for its thriving technology sector, diverse population, and exceptional quality of life. As a student at Concordia, you will benefit from access to world-class facilities, an inclusive academic environment, and opportunities for collaboration with industry leaders and international researchers.
Research Topic and Significance
The research positions focus on pioneering areas within wireless communications, with a strong emphasis on the integration of artificial intelligence and the development of future 6G networks. Key research topics include advanced transceiver design, AI-native radio access networks (RAN), edge intelligence, intelligent resource management, network optimization, integrated sensing and communications, as well as secure and self-organizing networks.
These areas are at the forefront of technological innovation, addressing the growing demand for faster, more reliable, and secure wireless communication systems. The convergence of AI and wireless technology is reshaping how information is transmitted and managed, promising transformative impacts on industries ranging from telecommunications to smart cities, autonomous vehicles, and the Internet of Things (IoT).
Project Details
Successful candidates will join a dynamic research team under the supervision of Prof. Chadi Assi and Dr. Mohamed Elhattab. The group is engaged in multiple high-impact projects within the domains of wireless communications and AI-driven network optimization. The research will involve exploring advanced topics such as AI-native RAN, Open-RAN, integrated sensing, and secure self-organizing networks, providing students with exposure to both theoretical and practical aspects of next-generation communications.
The team welcomes both self-funded and scholarship-seeking candidates, offering a supportive environment for students to develop their research skills, publish in top-tier journals, and contribute to globally significant advancements in wireless technology.
Candidate Profile
Ideal applicants are highly motivated individuals with a background in one or more of the following fields: wireless communications, signal processing, artificial intelligence/machine learning, or optimization. Applicants should possess:
– For PhD candidates: A completed MSc degree by August 2026 or December 2026
– Strong research background and/or publications (preferred)
– A minimum GPA of 3.4/4.0 (or 85%)
– Demonstrated interest or experience in AI-based wireless systems (preferred)
– Proficiency in programming languages such as Python (with TensorFlow or PyTorch) and/or MATLAB
Candidates with a passion for research, a collaborative mindset, and the ambition to drive innovation in wireless technologies are especially encouraged to apply.
Application Process
The application deadline for these positions is June 15th, 2026.
To apply, please refer to the official advertisement for application details.
For further information, you can visit the LinkedIn post by Dr. Mohamed Elhattab:
https://www.linkedin.com/posts/mohamed-elhattab_phd-msc-wirelesscommunications-share-7461478806084648961-cQDU
Conclusion
This is a unique opportunity to join a world-class research team at Concordia University and contribute to groundbreaking advancements in wireless communications and AI. If you are driven to make a significant impact in these fields, we encourage you to apply and take the next step in your academic and professional journey. Stay connected for more opportunities in related research areas by following updates and similar positions.
Questions & Answers
Question: What are the main benefits of pursuing graduate studies in Canada?
Canada offers a welcoming environment for international students, high academic standards, access to advanced research infrastructure, and opportunities for collaboration with leading industries. Montreal, in particular, is renowned for its vibrant tech ecosystem and multicultural community.
Question: What makes Concordia University a strong choice for engineering research?
Concordia University is recognized for its innovative research culture, supportive faculty, and strong industry partnerships. The Gina Cody School of Engineering and Computer Science is particularly well-regarded for its contributions to wireless communications and AI.
Question: Is prior experience in AI or machine learning mandatory for applicants?
While prior experience in AI or machine learning is preferred, candidates with a strong background in wireless communications or signal processing and a willingness to learn will also be considered.
Question: Can self-funded students apply for these positions?
Yes, self-funded candidates are welcome to apply for both MSc and PhD positions.
Want to calculate your PhD admission chances? Try it here:
https://phdfinder.com/phd_admission_chance_calculator/
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