Description du poste
*Le descriptif de l’offre ci-dessous est en Anglais*
**Type de contrat :** CDD
**Niveau de diplôme exigé :** Bac + 5 ou équivalent
**Fonction :** Doctorant
**A propos du centre ou de la direction fonctionnelle**
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Inria is the French National Institute for Research in Digital Science, of which the Inria Côte d'Azur University Center is a part. With strong expertise in computer science and applied mathematics, the research projects of the Inria Côte d'Azur University Center cover all aspects of digital science and technology and generate innovation. Based mainly in Sophia Antipolis, but also in Nice and Montpellier, it brings together 47 research teams and nine support services. It is active in the fields of artificial intelligence, data science, IT system security, robotics, network engineering, natural risk prevention, ecological transition, digital biology, computational neuroscience, health data, and more. The Inria Center at Université Côte d'Azur is a major player in terms of scientific excellence, thanks to the results it has achieved and its collaborations at both European and international level.
**Contexte et atouts du poste**
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Inria, the French National Institute for computer science and applied mathematics, promotes “scientific excellence for technology transfer and society”. Graduates from the world’s top universities, Inria's 2,700 employees rise to the challenges of digital sciences. With its open, agile model, Inria is able to explore original approaches with its partners in industry and academia and provide an efficient response to the multidisciplinary and application challenges of the digital transformation. Inria is the source of many innovations that add value and create jobs.
**Team**
The STARS research team combines advanced theory with cutting edge practice focusing on cognitive vision systems.
***Team web site :*** *https://team.inria.fr/stars/*
**Mission confiée**
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The Inria STARS team is seeking for a Ph.D. researcher with strong background in computer vision, deep learning and machine learning.
The candidate is expected to conduct research with the topic “Generating Synthetic Videos for Automated Visual Learning”, supervised by Antitza Dantcheva in the STARS team, with three axes:
* controllable and generalizable human-centric video generation,
* learning from synthetic data (self-supervised and continual learning), and
* detection of generated videos and deepfakes in a joint generation/detection setting.
**Principales activités**
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Context:
Recent advances in computer vision and generative AI have enabled major breakthroughs in image and video understanding, yet modern deep learning models remain critically dependent on massive amounts of annotated data, whose collection, annotation and curation are costly, time-consuming and increasingly constrained by privacy regulations suc