Ecole Normale Supérieure, Department of Physics

Position ID:

ENS-Department of Physics-PD_DIFFUSION_MODELS [#31082]

Position Title:

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

Position Type:

Postdoctoral

Position Location:

Paris, Ile-de-France 75 005, France

Subject Areas:

Machine Learning
Statistical Physics

Appl Deadline:

2026/01/15 11:59PM help popup

(posted 2025/11/04, listed until 2026/05/04)

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:

Submit the following items online at this website to complete your application:

Cover letter
Detailed CV with publication list
Research statement (max 4 pages)
Two reference letters (to be submitted online by the reference writers on this site )

And anything else requested in the position description.

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