Digital Twin Development and Data-Driven Algorithms for Plant Health Estimation in EcoSentinel Syste

15 ott - Roma
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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)

RSPP - HSE Specialist Vicenza

16 ott - Vicenza
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Segreteria Tecnica

16 ott - Torino
Soil Engineering

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Crea una Job Alert gratuita per digital twin development and data-driven algorithms for plant health estimation in ecosentinel syste / roma

Supervisori Lavori

16 ott - Bologna
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