Postdoc: Self-Calibrating Imaging & Inverse Problems

Inria Montbonnot; Montbonnot-Saint-Martin; On-site; EUR 42,000 - 52,000; Full time

Job summary

Inria Montbonnot, part of the Thoth team at Université Grenoble Alpes, seeks a post-doctoral researcher in machine learning and computer vision to develop principled, scalable learning methods for imaging systems and inverse problems.

You will publish in top venues, collaborate with PhD students, and contribute to unpaired operator learning and diffusion-based priors across European projects.

Qualifications

• PhD in ML, CV, signal processing or applied math.
• Strong publication record.
• Proficient in Python and PyTorch.

Responsibilities

• Publish high-quality research in ML/CV/signal processing venues.
• Develop scalable methods for learning imaging systems.
• Collaborate with PhD students and co-supervise the team.
• Advance unpaired operator learning and diffusion-based priors.

Skills

Machine Learning

Computer Vision

Optimization

Inverse Problems

Education

PhD in ML/CV/Signal Processing/Applied Mathematics

Tools

Python

PyTorch

Job description

Inria Montbonnot, part of the Thoth team at Université Grenoble Alpes, seeks a post-doctoral researcher in machine learning and computer vision to develop principled, scalable learning methods for imaging systems and inverse problems.

You will publish in top venues, collaborate with PhD students, and contribute to unpaired operator learning and diffusion-based priors across European projects.