Remote Sensing and Artificial Intelligence for Environmental Monitoring and the Development of Territorial Digital Twins
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Organisation/Company MUR Research Field Physics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 13 Oct 2026 - 23:55 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer DescriptionResearch activities within the ECHO-TWIN project will focus on the analysis of multi-sensor and multi-temporal satellite data to monitor and forecast various types of environmental risks, such as landslides, floods, volcanic eruptions, and other extreme natural events. AI or edge AI models—incorporating physics-informed machine learning approaches—will be developed to integrate satellite observations, auxiliary data, and physical knowledge of environmental processes, aiming to enable efficient, low-latency distributed processing. The results will contribute to the creation of intelligent components for the ECHO-TWIN digital twin, supporting near-real-time monitoring, forecasting, early warning systems, and environmental risk management.
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