Assistant/Associate Professor in Coding for Images and Video

Assistant/Associate Professor in Coding for Images and Video - Permanent contractTélécom Paris, an international multidisciplinary center for education, research, and innovation, is a leader in the digital world.The team's research activities have historically focused on the processing, analysis, and transmission of multimedia content, with a particular emphasis on visual signal coding, compression architectures, multimedia communication systems, and their applications.The MM team's interest in these issues can be illustrated through several non-exhaustive application areas. First, image and video coding remains central to traditional broadcasting and streaming applications, where optimizing the bitrate-distortion trade-off, compatibility with existing standards, and implementation efficiency are essential. These challenges are now being renewed by the emergence of new formats and new ways of representing visual content.Furthermore, new scientific challenges are emerging with the development of immersive coding and machine coding. Augmented and virtual reality applications, 360° video, point clouds, and advanced representations such as Gaussian Splatting require a rethinking of compression models to take into account more complex data structures and real-time interaction requirements. Similarly, machine coding, designed for automatic content analysis by artificial intelligence systems, challenges traditional paradigms centered on human perception.Finally, the recent rise of foundation models and multimodal artificial intelligence opens up new perspectives at the interface between coding and machine learning. The integration of these models into compression chains raises new scientific questions, both theoretical and practical, concerning the representation of information, the adaptation of coding to downstream tasks, and the design of hybrid pipelines combining classical approaches and AI-based methods.More generally, as illustrated by the past activities and current challenges of the Multimedia team, the coding systems studied must satisfy both functional properties—related to the fidelity of reconstruction or the relevance of the information transmitted—and non-functional properties such as complexity, latency, robustness, or interoperability with standards. The proposed position addresses this problematic field, with the aim of sustainably strengthening the team's research on image and video coding, while placing it within the context of major developments in modern multimedia and artificial intelligence.An important mission for this profile, which ideally has expertise in traditional compression pipelines for images and video, is to bridge the gap between the world of traditional compression and the AI experts already present in the Multimedia team, who could help formulate improvements to existing pipelines with the appropriate use of AI. Active participation in standardization consortia and participation in formation continue in traditional and the latest architectures are also important tasks to be carried out by the candidate.Your main tasks will be to:Participate in the design and implementation of teaching programs in your scientific fieldConduct research in your scientific fieldParticipate in the development of partnerships, collaborations and contractual relationships in your scientific fieldJob requirementsTo succeed in this role, you have a PhD and you are fluent in English. The position is open to all candidates working in Coding for images and video.Expertise in the following areas will be preferred:Coding for machinesImmersive codingCoding for Gaussian Splatting and 3DImage and video treatment with deep learningDevelopment at multiple levels of abstractionExpertise in open-source project managementScientific excellence: Renowned laboratories (LTCI, i3, CREST), cutting-edge equipment, and international recognition.Multidisciplinarity: Working at the intersection of all areas of digital technology.Personalized support: Integration program, dedicated training, exchange seminars, and paid study trips.Benefits: 1 to 3 days of remote working and nomadic working possible, 49 days of paid leave/RTT, mutual insurance & provident fund, etc.To apply, please send before March 15, 2026:Detailed curriculum vitae (max 2 pages)Covering letterActivity report (table of activities) on research (supervision, problems, etc.), eaching (title, volume, etc.) and collective tasks (max 4 pages)Teaching description (summary of activities, a brief plan for integration into teaching at university and continuing education) (max 4 pages)Research description (summary and results of activities, a brief plan for integration into research) (max 4 pages)Copy of the 3 best publications, list of publicationsNames and contact details of 2 qualified referencesThe selection process takes place in 4 steps:Exchange with the host team to establish a list of shortlisted candidatePreliminary interview with Human ResourcesHearing by the recruitment committee and ranking of the selected candidatesFinal interview with the Director of Télécom ParisOur recruitment is based on skills, without distinction of origin, age, gender identity, or sexual orientation, and all our positions are open to individuals with disabilities.Job detailsTitleAssistant/Associate Professor in Coding for Images and Video - Permanent contractPublished2026-01-212026-03-15 23:59 (Europe/Paris)2026-03-15 23:59 (CET)Télécom Paris is a member of IMT (Institut Mines-Télécom), the leading group of engineering and management schools in France. #J-18808-Ljbffr