Postdoctoral Position (M/F) in the COSMOS project

Centre de Recherche en Informatique, Signal et Automatique de Lille

VILLENEUVE D ASCQ • Nord

  • Researcher in FTC
  • 12 mounth
  • Doctorate

This offer is available in English version

This offer is open to people with a document recognizing their status as a disabled worker.

Offer at a glance

The Unit

Centre de Recherche en Informatique, Signal et Automatique de Lille

Contract Type

Researcher in FTC

Working hHours

Full Time

Workplace

59655 VILLENEUVE D ASCQ

Contract Duration

12 mounth

Date of Hire

01/09/2026

Remuneration

3071.50€ and 3501.51€

Apply Application Deadline : 11 May 2026 23:59

Job Description

Missions

The COSMOS project studies the Universe by using digital twins of the local cosmic web, realistic simulations constrained by observational data. It combines advanced computational, statistical, and AI-driven methods to analyze complex datasets and uncover how cosmic structures form and evolve. At the intersection of cosmology, data science, and high-performance computing, it aims at fostering interdisciplinary collaboration while delivering new scientific insights.

Missions are:
- Advance the use of digital twins of the local Universe.
- Develop and apply advanced computational, statistical, and AI-driven tools.
- Extract scientific knowledge about cosmic structure formation.
- Contribute to interdisciplinary research at the intersection of cosmology, data science, and high-performance computing.

Activity

The COSMOS project involves generating, calibrating, and validating digital twins of the local Universe, and applying machine learning and statistical inference to both simulations and observational data. It includes developing scalable algorithms for HPC environments, working on uncertainty quantification and simulation-based inference, and building reusable open-source tools. The work is carried out in close collaboration with computing teams to optimize resources, while investigating key questions on galaxy formation, dark matter, and large-scale structures. Results are disseminated through publications, conferences, and a strong commitment to reproducibility and accessible computational methods.

Your Profil

Skills

- Strong knowledge in cosmology and astrophysics.
- Expertise in numerical simulations (cosmological, N-body, hydrodynamic).
- Proficiency in high-performance computing (parallel computing, optimization).
- Advanced programming skills (Python, C/C++, scientific libraries, Git).
- Experience in machine learning and deep learning.
- Knowledge of Bayesian statistics and uncertainty quantification.
- Ability to analyze large datasets.
- Scientific writing and presentation skills in English.

Your Work Environment

The COSMOS project is hosted at the CRIStAL research laboratory (University of Lille / CNRS), within an interdisciplinary environment that brings together astrophysics, artificial intelligence, and high-performance computing. It involves close collaboration with multiple research teams and international partners, with access to advanced HPC infrastructures and large-scale simulation datasets. The work is fully integrated into ongoing research projects and scientific consortia.

Compensation and benefits

Compensation

3071.50€ and 3501.51€

Annual leave and RTT

44 jours

Remote Working practice and compensation

Pratique et indemnisation du TT

Transport

Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€

About the offer

Offer reference UMR9189-JENSOR-002
CN Section(s) / Research Area Astrophysics

About the CNRS

The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.

CNRS

The research professions

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Postdoctoral Position (M/F) in the COSMOS project

Researcher in FTC • 12 mounth • Doctorate • VILLENEUVE D ASCQ

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