Dear Colleagues,

I am pleased to announce an exciting opportunity for a two-year fully-funded postdoctoral researcher position within our research group at the IRFU Institute at CEA Paris-Saclay. We are looking for an outstanding candidate to join our team to work on machine learning for scientific imaging in astrophysics.

This position offers a unique opportunity to contribute to cutting-edge research at the intersection of AI, ML, and scientific imaging, with the potential to make significant contributions to the different scientific applications IRFU is involved in and profit from the vast application expertise found at the CEA.

For more information about the offer, see https://tobias-liaudat.github.io/opportunities/ or the pdf offer.

Review of applications will begin immediately and continue until the position is filled.

Position Details:

• Title: Postdoctoral research fellow position in machine learning for scientific imaging in astrophysics
• Duration: 2 years
• Start Date: Flexible during the 2024. As soon as the selected candidate is available.
• Location: CEA Paris-Saclay (Paris metropolitan area)
• Keywords: Machine learning, Inverse problems in imaging, Uncertainty quantification, Bayesian inference

For informal queries about the position, contact Tobías Liaudat (tobias.liaudat@cea.fr).

Best regards,