PhD position in the field of image/video blurring, Université Paris Cité, Paris,

Summary:
A fully funded PhD position is available at Université Paris Cité and GoPro Research Paris, focusing on cutting-edge research in the field of blind image and video deblurring. The successful candidate will work on improving state-of-the-art techniques using deep learning, diffusion models and advanced mathematical methods. This research aims to address real-world challenges in image restoration and improve both the quality and computational performance of deblurring methods.

PhD position in the field of blind image and video defusing

Designation: PhD student

Research area:

• Blindly blurring images and videos
• Image and video restoration
• Deep Learning
• Variation method
• Diffusion models
• Computer Vision

Location:

• Université Paris Cite, Paris, France
• GoPro Research Paris, Boulogne, France

Eligibility/Qualification:
Candidates should have a Master’s degree in Applied mathematics, computer science, electrical engineering or a closely related field. Strong programming skills in deep learning and scientific computing (e.g. Python, NumPy, PyTorch, TensorFlow, JAX) are essential. Other qualifications include:

• Solid knowledge of computational imaging, image restoration, variational methods in imaging, and Bayesian methods for inverse problems.
• Good knowledge of English or French (written and oral).
• Strong communication and interpersonal skills.

Job description:
The selected PhD student will engage in advanced research to improve current blind image and video deblurring methods. The project will include research into diffusion models, latent spatial acceleration, spatially varying blur, and joint blur prediction/deblurring architectures. The research will also include the development of self-supervised training methods to improve model performance under diverse and challenging conditions. The candidate will work with an international team and contribute to both academic and industrial advances in image restoration technologies.

How to apply:
Interested applicants please apply via the following Online formThe application must contain:

• A CV
• A letter of motivation
• M1 and M2 academic certificates
• One or two academic references (with letters of recommendation, if available)

For further questions, please contact the study advisor Andrés Almansa at andres.almansa@parisdescartes.fr.

Last application date:
Applications are possible until the position is filled. Early application is recommended.

This is an exciting opportunity to contribute to innovative research in image and video processing while gaining valuable experience in a collaborative academic and industrial environment.

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