PhD Position Computer Vision / Deep Learning: Video Generation

1000scholars; Friauville; Hybrid; EUR 20,000 - 27,000; Full time

Job summary

Inria Sophia Antipolis in France invites applications for a PhD position in Computer Vision and Deep Learning. The research focuses on Generating Synthetic Videos for Automated Visual Learning, supervised by a senior researcher in the STARS team.

The project explores controllable video generation, self-supervised learning, and deepfake detection in a joint framework. Ideal candidates hold a Master in CS, have strong programming skills (Python, PyTorch/TensorFlow), and a solid background in

Qualifications

• Master degree in Computer Science or closely related field.
• Solid foundations in computer vision and mathematics.
• Programming experience with Python and DL frameworks (PyTorch or TensorFlow).

Responsibilities

• Conduct research on Generating Synthetic Videos for Automated Visual Learning.
• Investigate controllable human-centric video generation and detection of deepfakes.
• Publish findings in top-tier venues and contribute to project milestones.

Skills

Computer vision

Deep learning

Machine learning

Python

Education

Master's degree in Computer Science

Tools

PyTorch

TensorFlow

OpenCV

Job description

# PhD Position Computer Vision / Deep Learning: Video GenerationInria Sophia AntipolisSophia Antipolis, FrancePhD / DoctoralComputer 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. 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.**Main activities****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 such as GDPR. This dependency is now one of the main bottlenecks to building robust and generalizable visual learning systems. At the same time, generative models (GANs, diffusion models) have reached a level of realism that makes it possible to synthesize human-centric videos with controllable expressions, gaze, motion and interactions. This thesis explores the foundations of synthetic video generation for automated visual learning: designing new learning paradigms in which synthetic data is generated dynamically to enrich and optimize training sets, with a focus on human-centered tasks (facial expressions, body motion, interaction modeling) and on the joint, co-evolutionary study of generation and detection of synthetic media and deepfakes.**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