26-027 Multi-temporal modeling for anomaly detection in satellite imagery

Mission

Your application must include a recommendation letter from your supervisor, a detailed CV including university education and work experience, a list of publications, a 2-page description of the work undertaken during the course of your PhD.

For more Information, contact : Directeur de Recherche -

Submit the complete application online (Apply) before March 13th, 2026 Midnight Paris time

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Earth Observation (EO) satellites now produce very large archives of high-resolution images, covering the same regions repeatedly over long periods of time. The increasing availability of commercial constellations provides dense image time series with fine spatial and temporal resolution. These datasets offer a unique opportunity to detect, understand, and monitor dynamic phenomena on the Earth’s surface.

However, most existing methods for detecting changes or anomalies in satellite imagery remain limited. Ma...