Postdoc: 3D Point Cloud Analytics for Coastal Heritage

Université de Caen Normandie; France; Sur place; EUR 27 000 - 36 000; Plein temps

Résumé du poste

Université de Caen Normandie invites applications for a First Stage Researcher (R1) position within the MODAM3 project, focusing on 3D point clouds and AI methods. The role involves developing models for localization, characterization, and identification of objects in massive, multi-scale 3D data, with strong collaboration within an academic–industry consortium.

The project emphasizes LiDAR, photogrammetry, and diffusion-based graph methods, with supervision by A.

Qualifications

• PhD in CS or related field.
• Strong programming skills in Python and C++.
• Experience with 3D data, point clouds, and computer vision.

Responsabilités

• Develop models/algorithms for 3D point clouds.
• Collaborate with GREYC/NORM3D teams on AI methods.
• Publish results in relevant venues.

Connaissances

Python

C++

Image processing

3D geometry

Computer vision

Formation

PhD or equivalent

Outils

PCL

Open3D

PDAL

CloudCompare

Description du poste

Université de Caen Normandie invites applications for a First Stage Researcher (R1) position within the MODAM3 project, focusing on 3D point clouds and AI methods. The role involves developing models for localization, characterization, and identification of objects in massive, multi-scale 3D data, with strong collaboration within an academic–industry consortium.

The project emphasizes LiDAR, photogrammetry, and diffusion-based graph methods, with supervision by A.