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 ***: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 Description
Research 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.
Italy
OTHER
Eligibility of fellows: country/ies of residence:
Italy
EUROPE
OTHER
Eligibility of fellows: nationality/ies:
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