Digital Twin Development and Data-Driven Algorithms for Plant Health Estimation in EcoSentinel Systems
Pubblicato il 11-10-2026 - Italian Ministry of Education, University and Research in Italia
pOrganisation/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 /p h3Offer Description /h3 pThis 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. /p ul liAFRICA /li liEUROPE /li liOCEANIA /li liNORTH AMERICA /li liSOUTH AMERICA /li liASIA /li liOTHER /li liE.U. /li liCHINA (MAINLAND) /li liCHINA (HONG KONG) /li /ul pbEligibility of fellows: country/ies of residence: /b /p ul liAFRICA /li liEUROPE /li liOCEANIA /li liNORTH AMERICA /li liSOUTH AMERICA /li liASIA /li liOTHER /li liE.U. /li liCHINA (MAINLAND) /li liCHINA (HONG KONG) /li /ul #J-18808-Ljbffr