A postdoc position in geometric deep learning at ICube laboratoire, University of Strasbourg.
* Work description
In the framework of a binational, tri-institutional project titled HuMoCar: Realistic Human Models for Care Robots for Aged People (October 2021 – October 2025), our objective is to improve the robustness of vision and artificial intelligence systems against large variations and occlusion. This project also aims to facilitate the management of specific interactions by developing a realistic, physics-compliant 4D human model. Our specific goal is to develop generative or segmentation models for 4D dressed humans, using geometric deep learning on annotated datasets. Several downstream tasks will be defined and developed, including the prediction of dynamic cloth shapes and segmentation of mesh data. Geometric deep learning models will be deployed, based on a homogeneous representation of the surface data. The recruited researcher will work in close collaboration with other researchers (PhD/Master students and permanent researchers) involved in the project.
* Candidate profile
− PhD degree in Computer Science
− Solid programming skills on deep learning
− Experience in geometric deep learning is a plus
* Application
Respond to the offer ‘UMR7357-HYESEO-019’ at https://emploi.cnrs.fr/ or send your CV to seo@unistra.fr, for (a) possible interview(s).
