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

Italian Ministry of Education, University and Research; Italia; On-site; EUR 40,000 - 60,000; Full time

Job summary

Università di Trento is seeking a researcher to contribute to the European EcoSentinel project by defining and implementing a Plant Digital Twin for monitoring and diagnosing plant health. The role focuses on developing data-driven models and machine learning algorithms that integrate heterogeneous signals from the EcoSentinel platform.

You will analyze inter-plant communication metrics such as RSSI and energy harvesting data from microbial soil processes to infer health states and soil

Job description

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)