Simon Fraser University’s School of Computing Science is inviting applications for two fully funded MSc and two fully funded PhD positions starting Fall 2026 in the Connect Lab. The positions are supervised by Prof. Ouldooz Baghban Karimi and focus on cutting-edge research areas including edge intelligence, automation, verification, immersive multimedia, artificial intelligence in computing science education, and human-centred decision making. The Connect Lab is committed to diversity and inclusion, fostering an environment where students from all backgrounds can thrive and contribute to broadening participation in computing science research. Successful candidates will join a vibrant research community at Simon Fraser University, a leading Canadian institution known for its innovative research and supportive academic environment. The School of Computing Science offers comprehensive graduate programs with access to state-of-the-art facilities and interdisciplinary collaboration opportunities. Research topics span networks, edge computing, AI-driven automation, multimedia systems, and educational technologies, providing students with a broad and impactful research experience. Applicants should have a strong academic background in computing science or a related field, with demonstrated interest or experience in the lab’s research areas. Entry requirements include a relevant undergraduate or master’s degree, a solid academic record, and proficiency in English (TOEFL/IELTS as required by SFU). The positions are fully funded, covering tuition and providing a stipend for living expenses. The application deadline is January 19, 2026. To apply, prospective students should prepare their application materials according to the School of Computing Science’s graduate admissions guidelines and submit them before the deadline. Interested candidates are encouraged to contact Prof. Ouldooz Baghban Karimi at [email protected] for further discussion and to learn more about the research environment. For detailed program information and application instructions, visit the official SFU Computing Science graduate programs page.

The Connect Lab at the School of Computing Science, Simon Fraser University, is seeking two thesis-based MSc and two PhD students to join starting Fall 2026. These fully funded positions offer the opportunity to work on cutting-edge research projects in networks (including edge intelligence, automation, and verification), immersive multimedia, the application of artificial intelligence in computing science education, and human-centred decision making. The lab is committed to diversity and inclusion, fostering an environment where all students can thrive. Simon Fraser University, located in Canada, is renowned for its strong computing science programs and research excellence. The School of Computing Science offers both MSc and PhD degrees with thesis-based options, providing students with comprehensive training and research opportunities. The Connect Lab, led by Professor Ouldooz Baghban Karimi, focuses on innovative research at the intersection of networks, AI, multimedia, and education technology. Applicants should have a solid background in computing science or a related field, with interests or experience in the lab's research areas. The university's graduate admission requirements include a relevant undergraduate or master's degree, a competitive GPA, and proof of English language proficiency for international students. The positions are fully funded, covering tuition and providing a stipend, ensuring financial support throughout the program. The application deadline is January 19, 2026. Prospective students are encouraged to contact Professor Ouldooz Baghban Karimi at [email protected] to discuss their interest and fit for the lab. For more information about the programs and application process, visit the School of Computing Science's official website. Join a vibrant, inclusive research community at Simon Fraser University and contribute to impactful projects in computing science. This is an excellent opportunity for motivated students passionate about networks, AI, multimedia, and educational innovation.