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

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)

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