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

1000scholars; Friauville; Hybrid; EUR 20,000 - 31,000; Full time

Job summary

Inria Sophia Antipolis is seeking a Ph.D. or postdoctoral researcher in computer vision and deep learning to advance deepfake detection. The role is anchored in the STARS team at the Université Côte d’Azur site, with collaboration with industry on online disinformation analysis.

The project emphasizes generalization to new generators and compressed videos, leveraging lip-reading embeddings and temporal cues, with results published in top venues. Position starts Jan 2027 for up to 3 years.

Qualifications

• Master degree or equivalent in Computer Science or closely related field by start date.
• Solid grounding in computer vision, strong mathematical and programming skills.
• Proficiency in Python and common DL frameworks (PyTorch or TensorFlow) preferred.

Responsibilities

• Research focused on detecting AI-generated videos, especially talking-face deepfakes.
• Develop robust detectors robust to compression and unseen generators.
• Explore audio-visual and temporal cues to improve generalization and calibration.

Skills

Mathematics

Programming

Computer Vision

Research mindset

Education

Master's degree in Computer Science

Tools

Python

OpenCV

PyTorch

TensorFlow

Job description

# PhD Position or Postdoc Computer Vision / Deep Learning: Deepfake DetectionInria Sophia AntipolisSophia Antipolis, FrancePostdoctoralComputer VisionDeep LearningApplied Mathematics29 days left## About the position**Context**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/**Assignment**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.**Main activities**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.**Skills**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.This listing was collected from a public source and is reproduced here forinformation only. Always confirm the details on the original posting before applying. View the original postingApply on the source siteTakes you to Inria Sophia Antipolis.Deadline: 06 Dec 2026Starts: 01 Jan 2027Duration: 3 yearsPosted: 07 Nov 2026Institution: Inria Sophia AntipolisLocation: Sophia Antipolis, France