Summary:
A fully funded PhD position is available at Université Paris Cité and GoPro Research Paris, focusing on cutting-edge research in 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, enhancing both the quality and computational efficiency of deblurring methods.
PhD Position in Blind Image and Video Deblurring
Designation: PhD Researcher
Research Area:
- Blind Deblurring of Images and Videos
- Image and Video Restoration
- Deep Learning
- Variational Methods
- Diffusion Models
- Computer Vision
Location:
- Université Paris Cité, Paris, France
- GoPro Research Paris, Boulogne, France
Eligibility/Qualification:
Candidates should hold 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. Additional qualifications include:
- Solid background in Computational Imaging, Image Restoration, Variational Methods in Imaging, and Bayesian Methods for Inverse Problems.
- Proficiency in English or French (both written and spoken).
- Strong communication and interpersonal skills.
Job Description:
The selected PhD candidate will engage in advanced research to improve current methodologies in blind image and video deblurring. The project involves exploring diffusion models, latent space acceleration, spatially varying blur, and joint blur-prediction/deblurring architectures. The research will also include developing self-supervised training methods to enhance model performance in diverse and challenging conditions. The candidate will collaborate with an international team, contributing to both academic and industrial advancements in image restoration technologies.
How to Apply:
Interested candidates should apply through the following online form. Applications must include:
- A Curriculum Vitae (CV)
- A Motivation Letter
- M1 and M2 academic transcripts
- One or two academic references (with recommendation letters if available)
For additional inquiries, please contact the academic advisor Andrés Almansa at andres.almansa@parisdescartes.fr.
Last Date to Apply:
Applications are open until the position is filled. Early submission is encouraged.
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.
