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

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8csmbu

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

È questo il suo prossimo lavoro? Legga la descrizione completa qui sotto per scoprirlo e non esiti a candidarsi.
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. xjncmbx 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

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8csmbu