Research Fellow in Computer Vision for X
2025-05-05
Paris
The position is offered for 4 years with a competitive salary (negotiable) and a starting package for hiring 2 PhD students.
The goal of this open position is to develop core AI methods and foundation models solving problems arising in a domain from another laboratory at École Nationale des Ponts et Chaussées. This “Computer Vision for X” profile is expected to make contributions to the development of AI research that lead to strong impacts on another field related to the ecological transition. Examples include but are clearly not limited to:
- Geospatial and economic foundation models: proposing new architectures and training strategies well suited for geospatial-economic data
- Biodiversity foundation models: advancing research on Vision-Language Models and tackle biodiversity from visual and textual data
- Generative AI for climate change: developing foundational generative models that can predict climate change impacts over long periods of time
- 3D foundation models for civil engineering: introducing novel 3D vision algorithms to enable digital twins during construction or maintenance
- Vision-Motion foundation models: proposing efficient visual-control architecture for robotics
