ADACSI will develop a multi-probe simulation-based framework for the joint analysis of large-scale structure (LSS) and gamma-ray data. By combining these complementary probes of the same underlying matter distribution, the project aims to sharpen constraints on astrophysical source populations and dark-matter signals, exploiting statistical correlations across datasets to break degeneracies that limit single-probe analyses. The framework will be validated on synthetic data and applied to public datasets, e.g. Fermi-LAT and DESI.
The two postdocs will be recruited simultaneously and will work as a team toward a single joint pipeline.
Position 1 — LSS forward modelling and SBI methodology. Developing fast simulations of the LSS observables, in particular data from spectroscopic galaxy surveys and CMB lensing and the inference machinery, building on and extending the SimBIG pipeline. This forward model is also the baseline for the gamma-ray side of the project.
Position 2 — Gamma-ray astrophysics and data analysis. Modelling how gamma-ray emitters populate the cosmic web and linking source populations to the underlying halo and galaxy distribution; developing SBI pipelines for Fermi-LAT data, first standalone and then jointly with LSS.
Qualifications. A PhD in astrophysics, cosmology, or a related field completed by the start date; strong programming skills; working knowledge of machine learning applied to astrophysics and cosmology, in particular simulation-based inference. For Position 1, experience with LSS simulations and analysis, and ideally galaxy redshift surveys and HPC. For Position 2, experience with gamma-ray data analysis and its astrophysical interpretation. Applicants with a strong machine-learning or statistics background moving into astrophysics are welcome.
Supervision and environment. Both positions will be co-supervised by Dr. Azadeh Moradinezhad and Dr. Francesca Calore, within the Astroparticle and Cosmology group at LAPTh (astrocosmolapth.com). External collaborators include Christoph Weniger (GRAPPA, University of Amsterdam) and Francisco Villaescusa-Navarro (Flatiron Institute, New York), as well as SimBIG collaboration. A PhD student and several Master’s students will also be recruited within ADACSI, offering co-supervision opportunities. The positions provide access to CNRS/LAPTh computing resources and generous travel support and, as an MIAI-funded chair, connect the postdocs to the institute’s interdisciplinary AI community; the group also benefits from its proximity to the University of Geneva and CERN.
Terms. Position 1 is a two-year appointment; Position 2 is a three-year appointment. Salary on the USMB scale, commensurate with experience, including social security and health coverage. The expected start date is 1st October 2027with some flexibility.