Is the Job related to staff position within a Research Infrastructure?: No
Offer Description
Visual scenes are structured at every scale, from a single blade of grass to larger objects and faces. Despite this complexity, the visual system combines these scales effortlessly, and does so on a power budget comparable to a lightbulb, against the megawatts required by modern artificial neural networks. This PhD project aims to understand how, using mathematical modelling drawn from information theory and statistical mechanics.
The core of the project is to build a theory of multi-scale neural coding based on methods we have recently developed around diffusion models, the class of generative machine learning models used to synthesise natural images. The student will then test the predictions of this theory against recordings from visual neurons in the retina and cortex responding to natural scenes. The work will be carried out in close collaboration with experimental groups providing the neural data.
Theory of visual perception across scales, from features to scenes
Where to apply
Website: https://emploi.cnrs.fr/Offres/Doctorant/UMR7210-MATCHA-001/Default.aspx
Requirements
Research Field: Mathematics
Education Level: PhD or equivalent
Languages: FRENCH
Level: Basic
Research Field: Mathematics
Years of Research Experience: None
Additional Information
Website for additional job details: https://emploi.cnrs.fr/Offres/Doctorant/UMR7210-MATCHA-001/Default.aspx
Work Location(s)
Number of offers available: 1
Company/Institute: Institut de la Vision
Country: France
City: PARIS 12
Contact
City: PARIS 12
Website: https://www.institut-vision.org
