Offer Description
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.
Where to apply
Website: https://pica.cineca.it/unipa/2025-cdr-06/
Requirements
Additional Information
Eligibility criteria
Eligible destination country/ies for fellows:
- Italy
Eligibility of fellows: country/ies of residence:
- EUROPE
- OTHER
Eligibility of fellows: nationality/ies:
- EUROPE
- OTHER
Website for additional job details: https://www.unipa.it/albo.html
