Theory of Diffusion Models (where Statistical Physics meets Computer Science)

Ecole Normale Supérieure, France

Updated: 6 days ago
Location: Paris 15, LE DE FRANCE
Deadline: Theory of Diffusion Models (where Statistical Physics meets Computer Science)

Ecole Normale Supérieure, Department of Physics
Position ID:
ENS-Department of Physics-PD_DIFFUSION_MODELS [#31082]
Position Title: 
Position Type:
Postdoctoral
Position Location:
Paris, Ile-de-France 75 005, France [map ]
Subject Areas: 
Machine Learning
Statistical Physics
Appl Deadline:
2026/01/16 04:59 AM UnitedKingdomTime (posted 2025/11/04 05:00 AM UnitedKingdomTime, listed until 2026/05/05 04:59 AM UnitedKingdomTime)
Position Description:
  Apply    
Position Description
One or possibly two postdoctoral positions to work on the theory of generative AI—particularly diffusion models and their generalizations—combining methods rooted in statistical physics and theoretical computer science. The research work can be more centred on analytical approaches or numerical experiments depending on the profile of the applicant.

Appointments will be for two years starting from the fall 2026 (flexible) with a possible extension for a third year. Salary is competitive and the positions are endowed with travel resources.

The successful candidate will carry out research at the data science center @ ENS – a multidisciplinary center hosting mathematicians, computer scientists, physicists and neuroscientists working on data sciences. The postdoc will be supervised by Giulio Biroli and involved in the activities of the Paris Research Institute on Artificial Intelligence (PRAIRIE-PSAI), the CFM-ENS Data Science Chair and will have link with the CFM-ML Lab.
Application Materials Required:
Further Info:
http://www.phys.ens.fr/
 
Laura Baron-Ledez
Administrative manager - Philippe Meyer Institute
Département de Physique, Ecole normale supérieure
24 rue Lhomond, 75231 Paris Cedex 05, France

Similar Positions