Remote-Ready PhD in Computer Vision & Deepfake Detection

Inria; Valbonne; On-site; EUR 23,000 - 29,000; Full time

Benefits offered by this job

Partial reimbursement of public tramns

Leave: 7 weeks annual leave + RTT days

Teleworking and flexible hours

Professional equipment available

Social, cultural and sports events

Access to vocational training

Mutual insurance (subject toConditions

Job summary

Inria, the French National Institute for Digital Science, invites applications for a PhD position or postdoc in computer vision and deep learning to tackle deepfake detection. The STARS team at Inria Côte d'Azur collaborates with industry to advance AI-driven media integrity.

Ideal candidates hold a Master in CS, have strong Python/OpenCV and DL skills (PyTorch or TensorFlow), and are committed to high-quality research and publications.

Qualifications

• Master degree or equivalent in Computer Science or closely related discipline.
• Strong background in computer vision, deep learning and machine learning.
• Solid programming skills and fundamentals in image/video analysis.

Responsibilities

• Conduct research on detecting AI-generated videos, especially talking-face deepfakes.
• Develop robust detectors generalizable to compressed footage and unseen generators.
• Evaluate methods on real-world data and publish in top venues.

Skills

Computer Vision

Deep Learning

Machine Learning

Python

OpenCV

PyTorch

TensorFlow

Education

Master degree in Computer Science or related field

Tools

Python

OpenCV

PyTorch

TensorFlow

Job description

Inria, the French National Institute for Digital Science, invites applications for a PhD position or postdoc in computer vision and deep learning to tackle deepfake detection. The STARS team at Inria Côte d'Azur collaborates with industry to advance AI-driven media integrity.

Ideal candidates hold a Master in CS, have strong Python/OpenCV and DL skills (PyTorch or TensorFlow), and are committed to high-quality research and publications.