Assistant/Associate Professor in Coding for Images and Video - Permanent contract

Karlstad University; Gif-sur-Yvette; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading digital technology institute is seeking an Assistant/Associate Professor in Coding for Images and Video. Responsibilities include designing teaching programs, conducting research, and developing partnerships. Candidates must hold a PhD and be fluent in English. Preferred expertise includes immersive coding and deep learning applications. This permanent position offers flexible remote working options and generous leave benefits.

Prestations

Remote working (1 to 3 days)

49 days of paid leave/RTT

Mutual insurance & provident fund

Qualifications

• PhD required.
• Fluency in English is a must.
• Preferred expertise includes coding for machines and immersive technologies.

Responsabilités

• Design and implement teaching programs.
• Conduct research in the scientific field.
• Develop partnerships and collaborations.

Connaissances

Fluent in English

Expertise in Coding for machines

Immersive coding

Coding for Gaussian Splatting and 3D

Image and video treatment with deep learning

Expertise in open-source project management

Formation

PhD

Description du poste

Assistant/Associate Professor in Coding for Images and Video - Permanent contract

Télécom 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 field
• Conduct research in your scientific field
• Participate in the development of partnerships, collaborations and contractual relationships in your scientific field

Job requirements

To 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 machines

Immersive coding

Coding for Gaussian Splatting and 3D

Image and video treatment with deep learning

Development at multiple levels of abstraction

Expertise in open-source project management

• Scientific 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 letter
• Activity 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 publications
• Names and contact details of 2 qualified references

The selection process takes place in 4 steps:

• Exchange with the host team to establish a list of shortlisted candidate
• Preliminary interview with Human Resources
• Hearing by the recruitment committee and ranking of the selected candidates
• Final interview with the Director of Télécom Paris

Our 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 details

Title

Assistant/Associate Professor in Coding for Images and Video - Permanent contract

Published

2026-01-21

2026-03-15 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.