Phd Position F - M Phd Position Or Postdoc Computer Vision - Deep Learning Deepfake Detection H/F INRIA

PhD Position F/M PhD Position or Postdoc Computer Vision / Deep Learning: Deepfake Detection
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

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

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 :

Mission confiée

The Inria STARS team is seeking for a Ph.D. or postdoctoral researcher with strong background in computer vision, deep learning and machine learning.

The candidate is expected to conduct research related to deepfake detection.

Principales activités

Context.The position is in the STARS team at the Inria Centre at Université Côte d'Azur (Sophia Antipolis), within a collaborative project with an industrial partner specializing in the analysis of online disinformation. Generative AI tools for images, voice, and video are now easy to use, and a growing share of the content in influence campaigns is synthetic and hard to detect. The project aims to advance the automatic detection of AI-generated videos and to transfer the resulting methods to operational tools.

Topic. The research will focus on detecting AI-generated videos, especially talking-face deepfakes. Current detectors degrade on compressed footage and on content from unseen generators, such as recent diffusion models, so the main goal is generalization. Key directions include audio-visual consistency through lip-reading embeddings, temporal and physiological cues, and using the team's own video generation models to build diverse training data. The detectors should be robust to social media degradations and produce calibrated outputs so they can be fused with audio and image detectors. The candidate will evaluate the methods on real-world data and publish in top computer vision and biometrics venues.

Compétences

Candidates must hold a Master degree or equivalent in Computer Science or a closely related discipline by the start date.

The candidate must be grounded in the basics of computer vision, have solid mathematical and programming skills.

Preferably in Python, OpenCV, deep learning framework Pytorch or Tensorflow.

The candidate must be committed to scientific research and strong publications.

Avantages

- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Contribution to mutual insurance (subject to conditions)

Rémunération

Gross Salary per month: 2300€