Jean-Marc Odobez

We invite applications for key roles in the TUNASBE project, funded by the Swiss SNSF, which aims to improve AI’s ability to understand human states, activities, and complex social behaviors in natural settings. The project focuses on interpreting non-verbal cues—such as gaze, gestures, and attention—through multi-task learning models that capture the subtleties of human interactions. The project will be supported by two PhD students and one postdoctoral researcher, to lead the design and development of computational models, focusing on gaze, attention, and multi-cue integration for human-centric computer vision analysis of social behaviors at the subject and scene levels in general settings.