PhD position at ENS: Theoretical and Numerical Study of Discrete Diffusion Models (M/F) 13 h 01
New
- FTC PhD student / Offer for thesis
- 36 months
- BAC+5
Offer at a glance
The Unit
Département de mathématiques et applications de l'ENS
Contract Type
FTC PhD student / Offer for thesis
Working hHours
Full Time
Workplace
75230 PARIS 05
Contract Duration
36 months
Date of Hire
01/10/2026
Remuneration
2300 € gross monthly
Apply Application Deadline : 13 August 2026 23:59
Job Description
Thesis Subject
This PhD project focuses on the theoretical and numerical study of discrete diffusion models. It will investigate in particular the regularity of denoising mechanisms and its impact on model robustness to perturbations, discretization errors, and noisy data. The research will also analyze learning dynamics and optimization trajectories to better understand the conditions for stable and convergent training. Finally, it will examine the expressivity of these models—their ability to represent and generate complex discrete distributions. The goal is to develop methods that improve the reliability, efficiency, and generation quality of discrete diffusion models across a range of applications.
Your Work Environment
DMA is the mathematics laboratory at École Normale Supérieure, located on rue d'Ulm. The work will be carried out within the ERC Noria project, which specializes in optimal transport and its applications.
Constraints and risks
No constraint.
Compensation and benefits
Compensation
2300 € gross monthly
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 | UMR8553-GABPEY-017 |
|---|---|
| CN Section(s) / Research Area | Mathematics and mathematical interactions |
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.
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