Postdoc: 3D Point Cloud AI for Heritage & Environment

Euraxess CZ; Caen; Hybride; EUR 36 000 - 48 000; Plein temps

Résumé du poste

Université de Caen Normandie invites applications for a First Stage Researcher (R1) postdoc on the MODAM3 project at GREYC UMR CNRS 6072 in Caen, France. The project targets modeling and algorithms for localization, characterization, and identification of objects in 3D point clouds using LiDAR, photogrammetry, and 3D scanners.

The selected candidate will develop AI methods with multi-scale data, graph-based representations for large-scale temporal data, and collaborate with an academic–industry

Qualifications

• PhD or equivalent required.
• Strong programming in Python and C++.
• Experience with 3D data, point clouds, and computer vision.

Connaissances

Python

C++

Image processing

3D geometry

Computer vision

Formation

PhD or equivalent in Computer Science

Outils

PCL

Open3D

PDAL

CloudCompare

Description du poste

Université de Caen Normandie invites applications for a First Stage Researcher (R1) postdoc on the MODAM3 project at GREYC UMR CNRS 6072 in Caen, France. The project targets modeling and algorithms for localization, characterization, and identification of objects in 3D point clouds using LiDAR, photogrammetry, and 3D scanners.

The selected candidate will develop AI methods with multi-scale data, graph-based representations for large-scale temporal data, and collaborate with an academic–industry