Publisher
source

Centre National pour la Recherche Scientifique et Technique

Postdoctoral Position in Differentiable Modelling and Cosmological Inference for Rubin/LSST Centre national de la recherche scientifique in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Two-year postdoctoral position at APC in Paris. The post is full-time and temporary; the announcement mentions benefits including comprehensive health cover, holiday entitlement, subsidised meals, transport discounts, and optional French language courses. No stipend amount is stated.

Deadline

Oct 29, 2026

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Country

France

University

Centre National pour la Recherche Scientifique et Technique

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Keywords

Computer Science
Data Science
Astronomy
Astrophysics
Cosmology
Python Programming
Bayesian Statistics
Large-scale Structure
High Performance Computing
Statistics
Physics

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About this position

Postdoctoral position in differentiable modelling and cosmological inference for Rubin/LSST at the Astroparticule et Cosmologie (APC) in Paris, France, within CNRS and the AstroDeep project.

The project focuses on cosmology, astrophysics, statistics, and data science, with an emphasis on developing differentiable cosmological models and forward-modelling inference methods for the analysis of the LSST survey from the Vera C. Rubin Observatory. Research topics include large-scale structure evolution, weak gravitational shear, Bayesian and gradient-based inference, uncertainty quantification, nuisance-parameter marginalisation, and robustness to systematics.

The successful candidate will develop and validate models, apply them to realistic simulations and precursor survey data such as DES, and prepare for the cosmological analysis of LSST Y1 within the LSST DESC collaboration. The role also includes integrating tools into LSST pipelines, validating them on survey-like volumes, documenting and releasing open-source code, and disseminating results through publications and presentations.

Eligibility highlights: PhD or near completion in astrophysics, cosmology, physics, statistics, or a related field; strong Python and collaborative software skills; familiarity with cosmological simulations, JAX/PyTorch, Bayesian sampling, or HPC is advantageous; excellent English communication skills are required. Basic French is mentioned, and the lab notes optional French language courses.

Funding and conditions: two-year full-time postdoctoral contract starting in early December 2026. The post is based in Paris 13, France, and includes benefits such as health cover, holiday entitlement, subsidised meals, and transport discounts.

Deadline: 29 October 2026, 23:59 UTC.

How to apply: submit an application through the CNRS job portal. A Euraxess page is also provided for viewing/applying.

Funding details

Two-year postdoctoral position at APC in Paris. The post is full-time and temporary; the announcement mentions benefits including comprehensive health cover, holiday entitlement, subsidised meals, transport discounts, and optional French language courses. No stipend amount is stated.

What's required

PhD or near completion in astrophysics, cosmology, physics, statistics, or a related field. Applicants should have a good command of at least one of the following: cosmological simulations, large-scale structure evolution, weak gravitational shear, differentiable modelling, Bayesian inference, or gradient-based inference methods. Experience with automatic differentiation frameworks such as JAX or PyTorch is an advantage, as are skills in cosmological simulation tools, Bayesian sampling, or high-performance computing. Strong Python programming and collaborative development skills (Git/GitHub, CI/CD, open-source practices) are required. Ability to work independently and in an interdisciplinary team, plus excellent scientific communication in English, is expected. Basic French is listed.

How to apply

Apply via the CNRS job portal using the provided application website. A related Euraxess page is also linked for viewing or applying. Submit before the deadline of 29 Oct 2026 at 23:59 UTC.

More information can be found here

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