PhD in 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

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.