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| Postdoctoral position in cosmology and machine learning | Closing date: 2026-01-01
Contact: Guilhem Lavaux |
| Applications are invited for a postdoctoral position in large-scale-structure cosmology at the Institut d'Astrophysique de Paris (IAP). The group is tightly connected to the Euclid survey and leads several of its key analyses. The Large-Scale Structure group notably develops state-of-the-art Bayesian inference and machine-learning tools for interpreting large-scale-structure data. | | ▸ more | Applications are invited for a postdoctoral position in large-scale-structure cosmology at the Institut d'Astrophysique de Paris (IAP). The IAP, located in central Paris, is an internationally recognised centre for fundamental research in astrophysics, cosmology and high-performance computing. The institute comprises about 150 researchers, engineers, technicians, administrative staff, postdoctoral researchers and PhD students. It is tightly connected to the Euclid survey and leads several of its key analyses. The Large-Scale Structure group notably develops state-of-the-art Bayesian inference and machine-learning tools for interpreting large-scale-structure data.
The successful candidate will join this vibrant team to develop and apply simulation-based Bayesian and AI methods for the scientific exploitation of Euclid early-data releases, in particular galaxy clustering, and to produce synthetic galaxy catalogs. The position is a 36-month fixed-term contract (full-time) with a negotiable start date that must occur before the end of 2026. The gross monthly salary ranges from 2800 euros to 3500 euros, depending on qualifications.
The working language of the team is English. Applicants must hold a PhD in physics, astrophysics or a closely related field and have no more than three years of post-doctoral experience (or equivalent research experience). We seek candidates with strong expertise in cosmology, Bayesian statistics and/or data-driven methods, and excellent scientific writing and presentation skills in English. Experience with high-performance computing or machine learning is a plus.
Please submit a CV, cover letter, list of publications, an approximately three-page research proposal and up to three letters of recommendation via the online portal: https://shlink.aquila-consortium.org/postdoc-iap-apply. The letters must be uploaded through https://shlink.aquila-consortium.org/postdoc-iap-1. Direct any enquiries to Guilhem Lavaux (guilhem.lavaux @ iap.fr) and Florent Leclercq (florent.leclercq @ iap.fr).
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