Goal
The UNIVERSITWINS project aims at bias-controlled interpretations of astronomical observations by building digital twins of our cosmic environment. By leveraging advanced techniques like artificial intelligence, it will investigate whether mismatches between observations and models stem from errors or new physics, while setting new digital twin standards for academic and industrial applications.


Teameam

Jenny G. Sorce
  Researcher   
Klaus Dolag
Professor  
Pierre-Antoine Thouvenin
Assistant Professor  
TO BE RECRUITED  
Postdoctoral researcher    
  François Roussel
PhD student
           
Jobs

- Postdoctoral position (opened from Sep. 2025 until filled): "Bayesian inference for cosmology: Inferring the initial fields of our cosmic neighborhood"

- Internship positions (opened from Sep. 2025 until filled):
        "Tracing the Formation History of the Virgo Cluster through its Substructure Analysis" (M1 or L3)
        "Observing Simulated Galaxies as if They Were Real for Simulation-Based Inference" (M1 or L3)
        "Bayesian Inference of Galaxy Quenching Across Redshift in the Virgo Cluster" (M2)
        "Jellyfish Galaxies as Probes of Galaxy Evolution: A Simulation-Driven, AI-Informed Study" (M2)





Last update : 08/22/2025