PhD in 3D Urban Change Detection & Territorial Analytics

1000scholars; Valbonne; On-site; EUR 25,000 - 32,000; Full time

Job summary

Inria's TITANE team in France invites applications for a PhD position within the JUNN project, focusing on spatiotemporal analysis of 3D changes in urban areas.

You will develop methods to detect planar variations from 3D data and study their distribution at large scales, from districts to national level, contributing to 3D city model updates.

Candidates should have a strong background in 3D geometry, computer vision and ML, be proficient in C/C++ and Python, and fluent in English.

Qualifications

• The candidate should have a strong background in 3D geometry, computer vision and machine learning.
• Proficiency in C/C++ and Python is required.
• Fluent English is essential, with a rigorous and creative working style.

Responsibilities

• Develop efficient methods for detecting 3D changes using planar primitives.
• Analyze spatio-temporal distribution of planar shapes at large scales.
• Contribute to 3D city model updates and scientific publications.

Skills

3D geometry

Computer vision

Machine learning

C/C++

Python

English

Creativity

Rigor

Education

PhD in a relevant field

Tools

Git

Job description

Inria's TITANE team in France invites applications for a PhD position within the JUNN project, focusing on spatiotemporal analysis of 3D changes in urban areas.

You will develop methods to detect planar variations from 3D data and study their distribution at large scales, from districts to national level, contributing to 3D city model updates.

Candidates should have a strong background in 3D geometry, computer vision and ML, be proficient in C/C++ and Python, and fluent in English.