Post-Doctoral Research Visit F/M Learning imaging systems and solving inverse problems from unpaired data

*Le descriptif de l’offre ci-dessous est en Anglais* **Type de contrat :** CDD **Contrat renouvelable :** Oui **Niveau de diplôme exigé :** Thèse ou équivalent **Fonction :** Post-Doctorant **A propos du centre ou de la direction fonctionnelle** ------------------------------------------------------- The Centre Inria de l’Université de Grenoble groups together almost 450 people in 26 research teams and 9 research support departments. Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (Université Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area. The Centre Inria de l’Université Grenoble Alpes is active in the fields of high-performance computing, verification and embedded systems, modeling of the environment at multiple levels, and data science and artificial intelligence. The center is a top-level scientific institute with an extensive network of international collaborations in Europe and the rest of the world. **Contexte et atouts du poste** ------------------------------- The post-doctoral researcher will be part of the Thoth team, which is specialized in computer vision and machine learning, and will be supervised by Julien Mairal. Thoth is one of the most recognized European research teams in machine learning and computer vision, is part of the Laboratoire Jean Kuntzmann at Université Grenoble Alpes, participates in several European projects (including ERCs), and has many international academic and industrial collaborations. The post-doc will join an active group of PhD students and post-docs working on generative modeling, optimization and inverse problems. Location: The post-doc will work at the Inria centre at Université Grenoble Alpes. Grenoble is a lively city which hosts many foreign students and researchers. Located in the heart of the French Alps, its direct surroundings offer great outdoor recreation including skiing, cycling, and hiking. Grenoble is well-connected to Lyon and Geneva airports, and Paris can be reached from Grenoble in 3h by train. **Mission confiée** ------------------- The post-doc is expected to conduct high-quality research leading to publications in top-tier venues in machine learning, computer vision or signal processing, and will also have the oppor- tunity to interact with and co-supervise PhD students of the team. Research Context: Inverse problems are ubiquitous in scientific and engineering domains that involve image acquisition, from computational photography to microscopy, astrophysics and medical imaging. The quantity of interest is observed through a forward process (blur, noise, subsampling, sensor effects) and must be recovered from these degraded measurements. Modern solvers, such as plug-and-play algorithms or methods based on diffusion and flow- based generative models, combine a model of the acquisition process with a powerful learned prior