Postdoctoral Position – 3D Point Cloud Processing and Analysis

Laplace Expert Ltd; Caen; Hybrid; EUR 38,000 - 46,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

C++

Image processing

3D geometry

Point-cloud analysis

Education

PhD in computer science / related field

Tools

PCL

Job description

Postdoctoral Position – 3D Point Cloud Processing and Analysis

France

Apply by 03 Nov 2026

About This Opportunity

Develop multiscale graph representations and learning methods for massive temporal 3D point clouds within MODAM3.

The work combines airborne LiDAR, photogrammetry and 3D scanner data with graph-based diffusion, PDEs and graph neural networks. Applications include coastal monitoring, Pointe du Hoc heritage documentation and accessibility for visually impaired visitors. The GREYC–M2C–NORM3D–ROBORATIVE collaboration connects geometry, computer vision and environmental and heritage research.

Level

Postdoc

Time Commitment

Full-time

Duration

12–24 months

Field

3D Point Cloud Processing and Analysis

Specialization

Computer Science

Organization Type

University

Requirements

Education

PhD in computer science, signal/image processing, computer vision, geomatics or a related field.

Experience

Python and/or C++; image processing, 3D geometry or computer vision. Point-cloud software and 3D machine learning are preferred.

Technical Skills

Python and/or C++ 3D geometry Image processing Point-cloud analysis