Resource-efficient technologies sustainable olive
Listed on 2026-01-22
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Research/Development
Research Scientist, Data Scientist -
Engineering
Research Scientist
Location: Town of Italy
Organisation/Company Università degli Studi di Palermo Research Field Agricultural sciences Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Final date to receive applications 15 Feb 2026 - 23:59 (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
The contract includes research work that integrates proximal and remote sensing technologies with AI based decision support systems to optimize water, nutrient and fruit growth/maturation management
and ultimately improve olive production efficiency and sustainability. The selected researcher will contribute to the development of predictive models and machine learning algorithms for data analysis
from plant-based sensors, multispectral and thermal imagery, and IoT systems. The required skills
include precision olive growing, olive tree physiology, proximal and remote sensing for assessing olive water and nutrient status as well as fruit growth/maturation, machine learning and computer vision techniques, statistical data analysis, and Python programming. Activities will include field calibration and validation of models and data integration into a decision support system.
- Italy
Eligibility of fellows: country/ies of residence:
- EUROPE
- OTHER
Eligibility of fellows: nationality/ies:
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