Organisation/Company Università di Trento Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 28 Oct 2026 - 12:00 (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 This research activity, carried out within the European EcoSentinel project, focuses on the definition and implementation of a Plant Digital Twin dedicated to monitoring and diagnosing plant health. The candidate will develop data-driven models and machine learning algorithms capable of integrating and processing heterogeneous signals generated by the EcoSentinel platform.



Specifically, the research involves analyzing inter-plant communication metrics (such as received signal strength / RSSI and transmission parameters) alongside energy harvesting data from microbial soil processes, aiming to infer plant health indicators (good, warning, danger states) and environmental soil conditions. * AFRICA * EUROPE * OCEANIA * NORTH AMERICA * SOUTH AMERICA * ASIA * OTHER * E.U. * CHINA (MAINLAND) * CHINA (HONG KONG) Eligibility of fellows: country/ies of residence: * AFRICA * EUROPE * OCEANIA * NORTH AMERICA * SOUTH AMERICA * ASIA * OTHER * E.U. * CHINA (MAINLAND) * CHINA (HONG KONG) #J-18808-Ljbffr

📌 Digital Twin Development and Data-Driven Algorithms for Plant Health Estimation in EcoSentinel Systems (Valle d'Aosta)
🏢 Italian Ministry of Education, University and Research
📍 Valle d'Aosta