Inria, the French national research institute for the digital sciences
1 month ago
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PhD and Postdoc in Synthetic Video Generation and Automated Visual Learning Inria / 3IA Côte d’Azur in France
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
The post indicates PhD and postdoc positions and includes salary estimate data of approximately €26,500–€89,000 per year (median around €30,500), but it does not specify the exact stipend, contract length, tuition coverage, or whether the positions are fully funded.
Deadline
Sep 18, 2026
Country
France
University
Inria, the French national research institute for the digital sciences

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About this position
Inria / 3IA Côte d’Azur is advertising PhD and postdoc positions in synthetic video generation and automated visual learning in France.
The research themes include diffusion models for synthetic video generation, self-supervised learning, continual learning from generated data, deepfake detection, and multimodal video learning. The positions are based in the STARS team at Inria / 3IA Côte d’Azur, Université Côte d’Azur.
Relevant technical tools and methods mentioned in the post include PyTorch, Python, Transformers, and Diffusion Models. This opportunity is well suited to candidates interested in computer science, machine learning, computer vision, and related AI research.
The post does not list detailed eligibility criteria such as degree requirements, GPA, or language tests. It does indicate that applicants should check the Call #3 listing for specific project details and the supervisor email.
Application instructions: go to the 3IA Côte d’Azur application page, open the list of positions under Call #3, and follow the project-specific instructions. The deadline shown in the post is 2026-09-18.
Funding details
The post indicates PhD and postdoc positions and includes salary estimate data of approximately €26,500–€89,000 per year (median around €30,500), but it does not specify the exact stipend, contract length, tuition coverage, or whether the positions are fully funded.
What's required
Applicants should have interest or background in synthetic video generation, automated visual learning, self-supervised learning, continual learning, deepfake detection, and multimodal video learning. The post mentions use of PyTorch, Python, Transformers, and diffusion models; specific degree or language requirements are not stated in the post.
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