Dear colleagues,
The Intelligent Next Generation Networking and Multimedia (IN2GM) Lab at Concordia University is delighted to announce the availability of a few funded Ph.D. and Master positions in the exciting research areas of networking, multimedia systems, and next-generation network systems and applications. We are seeking highly motivated candidates with a strong interest in networking and media delivery protocols, immersive media, next-generation wireless/mobile networks (5G and beyond), and AI/ML for networking, edge AI and media delivery optimization.
Starting Date: Fall 2023 or shortly thereafter (e.g., Winter 2024). Duration: 3-4 years for a Ph.D. degree and 2 years for a Master's degree, with the possibility of extension based on performance. Location: Concordia University, Montreal, Canada.
Job Description:
As part of an R&D collaboration between Concordia University's IN2GM Lab and industry partners, this project offers an exceptional opportunity to conduct cutting-edge research, develop innovative paradigms, prototype tools, and evaluate results. The focus is on building systems that support the delivery of immersive media over 5G networks.
The primary objective of this research is to design an end-to-end AI-enabled immersive media transport system. This encompasses various aspects, including media encoding, media packaging, media ingesting, media delivery over the core and last-mile networks, and media consumption on the client side. The system must adhere to the standards set by IETF, MPEG, and 3GPP. The intended applications of this research include virtual reality (VR), augmented reality (AR), XR (extended reality), and the metaverse.
The program offers a competitive salary, and successful Ph.D. and Master students will have the privilege of being supervised by Professor Abdelhak Bentaleb, the esteemed head of the IN2GM Lab. Upon completion, students will be awarded a doctorate degree (for Ph.D. positions) or Master (for Master positions) in Computer Science from Concordia University's Department of Computer Science and Software Engineering, which is part of the Gina Cody School of Engineering and Computer Science.
Qualifications:
Candidates must have completed a master's degree (for Ph.D. positions) and a BSc degree (for Master'spositions) in Computer Science, Computer Engineering, Communications, or a related discipline, or be nearing completion at the start date of the appointment. Additionally, successful candidates should possess: Excellent background in networking, multimedia systems, and mathematics. Having a background in immersive media, video streaming protocols/formats, wireless 5G networks, and machine/deep learning (e.g., deep reinforcement learning) is a plus. Proficiency in programming languages such as Python, PyTorch, JavaScript, C, and C++. Good English skills, both written and verbal. How to Apply?
To apply for these positions, please submit your application to Dr. Abdelhak Bentaleb, Assistant Professor of Computer Science in the CSSE Department at Concordia University, via email at abdelhak.bentaleb@concordia.ca
Your application should include the following documents: Letter of motivation (maximum 3 pages) explaining your interests related to this position. Please outline your background, elaborate on how you are well-suited for the position, highlight how you can contribute to the described research topics, and provide details about your previous academic projects and publications, if applicable.
Detailed curriculum vitae.
Soft copies of degree certificates and transcripts from both your bachelor's and master's degrees. To ensure a timely response, please include "PhD (or Master) Position [Application]: Your-Name" in the subject line of your email.
About Concordia:
Located in the vibrant and multicultural city of Montreal, Concordia University is among the most innovative universities in its approach to experiential learning, research, and education. Concordia is one of the three universities in Quebec where English is the primary language of instruction. It is the first university under 50 years in Canada and the Computer Science and Software Engineering (CSSE) Department is ranked one of the top 10 CS departments in Canada. The CSSE Department is located in the “Quartier Concordia” neighborhood of Downtown Montreal where there are many options for direct transportation: metro, bus, or bike. It provides a suitable learning and research environment where students can flourish their skills.
Best Regards,
Abdelhak Bentaleb, Ph.D. Assistant Professor of Computer Science Department of Computer Science and Software Engineering (CSSE) Gina Cody School of Engineering and Computer Science Concordia University Montreal, QC, Canada H3H 2R9 Email: abdelhak.bentaleb@concordia.ca