École de technologie supérieure (ETS-Montreal) is offering internship opportunities for Master’s and PhD students as part of a newly accepted research project funded by Canada’s Department of National Defence (DND) through the IDEaS Challenge. The project, titled "Seamless Transitions Between Mobile Broadband Networks," will run for one year in 2026 and focuses on developing advanced mechanisms for reliable mobility across heterogeneous 5G and future networks. This research is critical for next-generation defence and public safety applications. Interns will work on cutting-edge topics including 5G/6G mobility and handover technologies, network virtualization, edge computing, AI/ML for mobility prediction and network optimization, and software-defined/cloud-native networking. The project is a collaborative effort involving partner universities such as University of Waterloo, University of Regina, and École de technologie supérieure. Applicants should be highly motivated Master’s or PhD students with a keen interest in wireless technologies and network research. Priority will be given to students currently studying in Canada. While no specific funding details are mentioned, the internships are part of a government-funded research initiative. Interested candidates are encouraged to contact Professor Rami Langar directly or share the opportunity within their academic network. Key academic keywords: 5G mobility, 6G mobility, network virtualization, edge computing, AI/ML for mobility prediction, software-defined networking, cloud-native networking, defence applications, public safety.

A fully funded PhD position is available at the École de technologie supérieure (ÉTS) in Montreal, Canada, under the supervision of Full Professor Rami Langar. The research focuses on Reconfigurable Intelligent Surfaces (RIS) and O-RAN for energy-efficient and adaptive 6G wireless connectivity, with a strong emphasis on AI/ML-driven optimization for 5G/6G networks. This opportunity is part of an industry collaboration with LATYS and is funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) Alliance, Mitacs, and LATYS. The ideal candidate will have a completed or soon-to-be-completed Master’s degree and a strong background in optimization, wireless communications, and/or machine learning. Experience with system and testbed development is considered an asset. Priority will be given to candidates currently based in Canada. The research will involve developing and optimizing RIS-assisted O-RAN networks, leveraging AI and ML techniques to enhance energy efficiency and adaptability in next-generation wireless systems. The position offers full funding, including stipend and research expenses, as part of a collaborative project with industry partners. The application deadline is April 30, 2026. Interested candidates should prepare a CV, academic transcripts, a brief statement of research interests, and examples of relevant publications, and send them to Professor Rami Langar at [email protected]. Key research areas include Reconfigurable Intelligent Surfaces, O-RAN, 6G wireless connectivity, AI/ML optimization, wireless communications, and testbed development. This is an excellent opportunity for students interested in cutting-edge research at the intersection of electrical engineering, computer science, and industry collaboration.