Postdoc: 3D Point Cloud & Graph Neural ML

Laplace Expert Ltd; Caen; Híbrido; EUR 38.000 - 46.000; Jornada completa

Descripción de la vacante

Laplace Expert Ltd invites applications for a Postdoctoral Position in 3D Point Cloud Processing and Analysis in France. The project focuses on multiscale graph representations and learning methods for massive temporal 3D point clouds, integrating LiDAR, photogrammetry and 3D scanner data.

The work spans graph diffusion, PDEs and graph neural networks, with applications in coastal monitoring and heritage documentation within a GREYC–M2C–NORM3D–ROBORATIVE framework.

Formación

• PhD in computer science, signal/image processing, computer vision, geomatics or related field.
• Python and/or C++ programming.
• Experience with image processing, 3D geometry or computer vision.

Responsabilidades

• Develop multiscale graph representations and learning methods for massive temporal 3D point clouds.
• Explore graph-based diffusion, PDEs and graph neural networks for 3D data.
• Collaborate within GREYC–M2C–NORM3D–ROBORATIVE across geometry, vision and heritage research.

Conocimientos

Python

C++

Image processing

3D geometry

Point-cloud analysis

Educación

PhD in computer science / related field

Herramientas

PCL

Descripción del empleo

Laplace Expert Ltd invites applications for a Postdoctoral Position in 3D Point Cloud Processing and Analysis in France. The project focuses on multiscale graph representations and learning methods for massive temporal 3D point clouds, integrating LiDAR, photogrammetry and 3D scanner data.

The work spans graph diffusion, PDEs and graph neural networks, with applications in coastal monitoring and heritage documentation within a GREYC–M2C–NORM3D–ROBORATIVE framework.