M/F: Realtime Modification of Social Signals in Augmented Reality using Diffusion Models
New
- FTC PhD student / Offer for thesis
- 36 months
- BAC+3/4
This offer is available in English version
This offer is open to people with a document recognizing their status as a disabled worker.
Offer at a glance
The Unit
Laboratoire Interdisciplinaire des Sciences du Numérique
Contract Type
FTC PhD student / Offer for thesis
Working hHours
Full Time
Workplace
91190 GIF SUR YVETTE
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
Consumer Augmented Reality (AR) smart glasses will increasingly let AI modify a user's view of the real world. This raises a largely unexplored question: can a user's perception of social signals—especially facial expressions—be deliberately modified in real time? Social interaction relies on such signals: people constantly read each other's emotional states to infer intentions, predict reactions, and guide their own behavior. This thesis studies how these signals, as perceived by an AR-glasses wearer, can be deliberately and convincingly modified in real time using diffusion models.
Your Work Environment
Dr. Sandor, the principal advisor, leads the ARAI (Augmented Reality – Artificial Intelligence) team in the HCI department of the Laboratoire Interdisciplinaire des Sciences du Numérique (LISN, UMR 9015), Université Paris-Saclay/CNRS, which he co-founded with Dr. Nguyen in 2024. His recent research on video prediction and on real-time facial-expression modification with diffusion models is directly at the heart of this thesis.
Dr. Nguyen, the co-advisor, is the scientific coordinator of NeuroCoRe and co-leads this Ph.D. project with Dr. Sandor. Her expertise in collaborative XR—both remote and co-located—and in hybrid immersive platforms is central to the multi-user and user experience aspects of the thesis.
The thesis is embedded in the NeuroCoRe consortium (PEPR eNSEMBLE): collaborative XR and generative AI (LISN), neuroscience and decision science (CRNL), and computer vision, machine learning, and adolescent BPD psychiatry (Centre Borelli). The student benefits from this interdisciplinary environment, shared experimental infrastructure, and access to high-performance GPU computing at IDRIS (Jean-Zay). LISN is a key player in the French PEPR eNSEMBLE and CONTINUUM projects on the future of collaboration; this thesis provides strong synergy with them.
Constraints and risks
n/a
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 | UMR9015-CHRSAN-005 |
|---|---|
| CN Section(s) / Research Area | Information sciences: processing, integrated hardware-software systems, robots, commands, images, content, interactions, signals and languages |
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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