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# Job offer

- **Company:** CNRS
- **Location:** Saint-Martin-d'Hères, France
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Python (Programming Language), Machine Learning, Deep Learning, Information Technology
- **Published:** July 10, 2026
- **Apply:** https://emploi.cnrs.fr/Offres/CDD/UMR5216-VIRFAU-062/Default.aspx

## About the Role

Candidates must hold a PhD in computer science, applied mathematics, data analysis, or a related field.

 - They must demonstrate solid experience in deep learning and/or machine learning applied to images and videos.
 - Experience in multimedia forensics would be an asset.
 - Candidates must be highly motivated, proficient in Python programming, and possess excellent communication skills.
Additional comments

## Description

Conduct a brief state-of-the-art review covering both data-efficient multimedia forensics and multimodal foundation models.

 - Lead the primary task, in collaboration with the supervisor, of using multimodal foundation models to detect AI-generated images. The focus will be on training-free or weakly-supervised methods that leverage the powerful representations learned by foundation models.
 - Validate the developed methods using standard benchmarks, specifically evaluating their ability to generalize across a wide range of AI-generated data.
 - Write papers summarizing the developed methods and submit them to appropriate conferences and journals.
 - As a secondary task, extend and validate the developed methods for the detection of AI-generated videos.


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