PhD Position F/M Spatio-temporal analysis of remote sensing data at large scales
Inria
Inria is recruiting a PhD researcher to develop scalable methods for detecting and analysing spatio-temporal 3D changes in remote-sensing data for large-scale urban modelling.
The current cycle is confirmed, the official application route is active and a closing date is recorded.
Source visited 21 Aug 2026 (UTC). A source visit does not establish every employment term or confirm that applications remain open.
- Source review was due 24/08/2026. Confirm details on the official page.
- Reviewed evidence is not available for: deadline, employment terms, requirements, application link, compensation.
Vacancy terms
- Career stage
- Doctoral researcher
- Employment type
- Not stated
- Contract
- Not stated
- Contract ends
- Not stated
- Original contract term
- Fixed-term PhD contract for three years
- Schedule
- Not stated
- Workplace
- Not stated
- FTE
- Not stated
- Salary
- EUR 2,300 gross per month.
- Department or school
- Not stated
- Posted
- Not stated
Responsibilities
- Develop efficient methods for 3D change detection using geometric primitives.
- Analyse spatio-temporal distributions of urban geometric changes at large scales.
Qualifications and requirements
Qualifications
- Graduate degree or equivalent.
- Strong background in 3D geometry, computer vision and machine learning.
- C/C++ and Python programming ability.
- Fluent English.
Requirements
- Creative and rigorous research approach.
Documents and steps
Documents
A required-document list has not been captured. Confirm the current checklist on the official application page.
Steps
Review the official PhD project and skills requirements.
Prepare the application materials requested by Inria.
Submit online through the official Inria vacancy by 30 November 2026.
Sources behind this vacancy
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Published revision history
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PhD Position F/M Spatio-temporal analysis of remote sensing data at large scales
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Programme overview and cycle history