Assistant/Associate Professor in Video Processing and Animation with Deep Learning

Télécom Paris, an international multidisciplinary center for education, research, and innovation, is a leader in the digital world.

We are looking for an Assistant/Associate Professor in Video Processing and Animation with Deep Learning to join the Multimedia (MM) team in the Image, Data, Signal (IDS) department.

You will hold a prestigious Hi! PARIS Chair with an exceptional hiring package designed to accelerate your research ambitions.

Télécom Paris is a partner of the Hi! PARIS Cluster 2030, an ambitious program aiming to build a world-class research and training hub in artificial intelligence and data science. The consortium brings together leading French institutions, including IP Paris, HEC Paris, INRIA, CNRS, and Université de Technologie de Troyes.

Thanks to a significantly reduced teaching load, you will be able to devote a significant portion of your time to advancing your research, building scientific collaborations, and developing large-scale projects.

Scientific context:

The rise of artificial intelligence and particularly of deep learning techniques has profoundly impacted research for all data modalities: audio, images, videos, text, 3D, etc. Indeed, this call aims at reinforcing the equipe Multimedia in one of the following areas, having a strong accent to AI.

Animation is a dynamic and evolving field where artificial intelligence is driving transformative advancements, particularly in automated motion synthesis, real-time rendering, and expressive character generation. Modern techniques, such as neural motion models and physics-based simulation, enable the creation of lifelike animations with reduced manual intervention, benefiting industries like gaming, film, and virtual production. AI-powered tools can interpolate keyframes, enhance lip-syncing for dubbed content, or even generate entirely new animations from textual or audio inputs using multimodal foundation models. Additionally, innovations in procedural animation and 3D Gaussian splatting allow for more efficient scene reconstruction and dynamic asset generation, critical for immersive AR/VR experiences. As the demand for personalized and interactive digital content grows, research at the intersection of AI and animation holds immense potential to redefine creativity, production pipelines, and user engagement.

Another critical area is neural network-based video processing, which includes specialized models for video restoration, artifact removal, and enhancement of low-quality or historical footage. Additionally, secure deepfake technologies present opportunities for verified digital avatars and innovative applications in entertainment, requiring robust and ethically aligned solutions.

3D Gaussian Splatting represents a transformative approach for fast and accurate 3D scene reconstruction, with significant implications for augmented reality (AR), virtual reality (VR), and industrial simulations. Research in this domain may lead to patented methods for integrating this technique into interactive tools and industrial pipelines, enabling real-time 3D modeling and immersive experiences.

Finally, video-centric foundation models for multimodal applications open new possibilities in AI-driven content generation, such as creating or modifying video based on textual or audio inputs. These technologies also support automated video summarization, which has broad utility across media, education, and surveillance industries, enhancing accessibility and information processing.

Your main tasks will be to:

• Conduct research in your scientific field.

• Participate in the development of partnerships, collaborations and contractual relationships in your scientific field.

• Participate in the design and implementation of teaching programs in your scientific field (reduced teaching load).

To succeed in this role, you have a PhD and you are fluent in English. 

The position is open to all candidates working in video processing/animation with Deep Learning or 3D processing with Deep Learning.

Expertise in the following areas will be preferred:

• Image processing with deep learning

• Generative AI and multimodality

• Image and Video compression pipelines (both traditional and AI-based)

• Self-supervised, sequential learning, transfer learning, domain adaptation

• Development at multiple levels of abstraction

• Expertise in managing open-source projects

Why join Télécom Paris?

• Scientific excellence: Renowned laboratories (LTCI, i3, CREST), cutting-edge equipment, and international recognition.

• Multidisciplinarity: Working at the intersection of all areas of digital technology.

• Industrial and academic partnerships: Industrial chairs, integration into Paris-Saclay (Europe's leading innovation hub) and the Institut Polytechnique de Paris.

• Personalized support: Integration program, dedicated training, exchange seminars, and paid study trips.

• Benefits: remote work available / flexible work arrangements, 49 days of paid leave/RTT, mutual insurance & provident fund, etc.

Discover our work environment, our commitments, and our campus through photos and videos on our dedicated page.

To apply, please send before September 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

Additional information:

Localisation: Palaiseau (20km from Paris)
Type of contract: Fixed-Term contrat for 3 years (with the possibility of renewal)
Contact:  Enzo Tartaglione  enzo.tartaglione@telecom-paris.fr
Full job description here

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.