[情報] Concordia University 徵CS博士生

加拿大 Concordia University 徵 Computer Science 全獎博士生，代PO 領域：networking, multimedia systems, and next-generation network systems -- Job description The Intelligent Next Generation Networking and Multimedia (IN2GM) Lab at Concordia University is pleased to invite applicants for a few fully funded Ph.D. (and Master) positions in the areas of networking, multimedia systems, and next-generation network systems and applications. We seek candidates with research interests related to networking and media delivery protocols, immersive media, next-generation wireless/mobile networks (5G and beyond), and AI/ML for networking and media delivery optimization. STARTING DATE: Fall 2023 or shortly later (e.g., Winter 2024). DURATION: 3-4 years (Master is 2 years), one year extendable depending 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 provides an opportunity to research and develop novel paradigms, approaches, prototype tools, and evaluation results, and build systems that support the topic of Immersive Media Delivery over 5G Networks. The main objective of the research is to design an end-to-end AI-enabled immersive media transport system (including 1. media packaging, 2. media ingest process, 3. media delivery over the core and last-mile networks, and 4. media consumption at the client side), that respects standards set by IETF, MPEG, and 3GPP, can be used for various immersive applications such as virtual reality (VR), augmented reality (AR), XR (extended reality), and the metaverse. The program offers a competitive salary, and the selected Ph.D. students will be supervised by Professor Abdelhak Bentaleb, the head of the IN2GM Lab. The selected Ph.D. students will earn a doctorate degree in Computer Science from Concordia University’s Department of Computer Science and Software Engineering, part of the Gina Cody School of Engineering and Computer Science. Qualifications: Candidates must have completed their master's degree in the field of Computer Science, Computer Engineering, Communications, or a related discipline with good final scores or be near completion at the start date of the appointment. Excellent background in networking and media streaming protocols/formats, immersive media, wireless 5G networks, machine/deep learning (e.g., deep reinforcement learning), and mathematics. Excellent programming skills (e.g. Python, PyTorch, JavaScript, C, C++). Excellent English skills, both in written and oral form How to Apply? Applications should be addressed to Dr. Abdelhak Bentaleb, Assistant Professor of Computer Science in the CSSE Department at Concordia University: [email protected] Applications must include the following: Letter of motivation (maximum 3 pages) explaining your interests related to this position. Outline your background, how you fit for the position, how you can contribute to the topics described, and explain what you did during your studies (e.g., project, published papers, etc.). A detailed curriculum vitae. Soft copies of degree certificates and transcripts from both bachelor's and master's degrees. Please include PhD (or Master) Position [Application]: ‘Your-Name‘ in your email subject line to ensure a timely response. Equity and Diversity Statement: We value equity and diversity. We strongly encourage applications from all qualified candidates, including women, members of visible minorities, Indigenous persons, members of racial and ethnic minorities, persons with disabilities, and others who may contribute to diversification. 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. --
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