Doctoral student (licentiate) in Artificial Intelligence for Earth Observation

Project description

Third-cycle subject: Geodesy and Geoinformatics

We are excited to announce a new PhD position in Artificial Intelligence for Earth Observation. This research opportunity will focus on advancing AI-driven Earth Observation (EO) methods for environmental intelligence, with applications including illegal waste monitoring, wildfire emission estimation, and pollution assessment.

The doctoral research will explore cutting-edge artificial intelligence and machine learning approaches for analyzing multi-modal, multi-temporal, and multi-resolution satellite imagery and geospatial data. The project aims to develop innovative models capable of capturing complex spatiotemporal dynamics and supporting a broad range of downstream environmental applications. Particular emphasis will be placed on building robust and scalable AI solutions for environmental monitoring, situational awareness, and sustainable decision-making through EO big data...