Postdoc: 3D Point Cloud Processing & Graph Learning

Laplace Expert Ltd; Caen; Remote; EUR 42,000 - 54,000; Full time

Job summary

Laplace Expert Ltd in Caen, France invites applications for a Postdoctoral Position – 3D Point Cloud Processing and Analysis. The role involves developing multiscale graph representations and learning methods for massive temporal 3D point clouds within MODAM3, combining airborne LiDAR, photogrammetry and 3D scanner data.

You will work in GREYC–M2C–NORM3D–ROBORATIVE collaboration, focusing on graph neural networks, diffusion and PDEs for coastal monitoring and heritage documentation.

Qualifications

• PhD in computer science or closely related field.
• Experience with Python and/or C++, image processing, 3D geometry or computer vision.
• Familiarity with point-cloud software and 3D machine learning preferred.

Responsibilities

• Develop multiscale graph representations and learning methods for massive temporal 3D point clouds.
• Work with airborne LiDAR, photogrammetry and 3D scanner data integrated with graph-based diffusion, PDEs and graph neural networks.
• Collaborate within GREYC–M2C–NORM3D–ROBORATIVE to advance geometry, computer vision and heritage research.

Skills

Python

C++

3D Geometry

Image processing

Point-cloud analysis

Education

PhD in computer science

Tools

Point-cloud software

Job description

Laplace Expert Ltd in Caen, France invites applications for a Postdoctoral Position – 3D Point Cloud Processing and Analysis. The role involves developing multiscale graph representations and learning methods for massive temporal 3D point clouds within MODAM3, combining airborne LiDAR, photogrammetry and 3D scanner data.

You will work in GREYC–M2C–NORM3D–ROBORATIVE collaboration, focusing on graph neural networks, diffusion and PDEs for coastal monitoring and heritage documentation.