Postdoc: AI for 3D Point Clouds & Multi-Scale Analysis

EURAXESS Ireland; Caen; Hybride; EUR 42 000 - 54 000; Plein temps

Résumé du poste

Université de Caen Normandie invites applicants for a First Stage Researcher (R1) postdoc in Computer Science under the MODAM3 project. The position focuses on modeling and algorithms for localization and identification in 3D point clouds, using LiDAR, photogrammetry and multi-scale data.

The successful candidate will develop AI methods for analyzing 3D data, with emphasis on graph-based representations and semi-/unsupervised learning, collaborating with GREYC and affiliated teams.

Qualifications

• PhD or equivalent required for the postdoc.
• Strong programming skills in Python and/or C++.
• Experience with image processing, 3D geometry or computer vision.
• Familiarity with 3D point clouds libraries such as PCL/Open3D/PDAL is preferred.

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 applicants for a First Stage Researcher (R1) postdoc in Computer Science under the MODAM3 project. The position focuses on modeling and algorithms for localization and identification in 3D point clouds, using LiDAR, photogrammetry and multi-scale data.

The successful candidate will develop AI methods for analyzing 3D data, with emphasis on graph-based representations and semi-/unsupervised learning, collaborating with GREYC and affiliated teams.