Publisher
source

Salvatore Manfreda

2 months ago

PhD Opportunity in Integrated Remote Sensing and Hydrological Modelling University of Naples Federico II in Italy

Degree Level

PhD

Field of study

Computer Science

Funding

Scholarship code C42.CU-Gamma.12 is mentioned for the PhD position. The post also notes a 6-month research period abroad. No stipend amount or tuition details are provided.

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Country

Italy

University

University of Naples Federico II

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Keywords

Computer Science
Environmental Science
Remote Sensing
Geography
Hydrology
Civil Engineering
Earth Science
Water Resource Management
Earth Observation
Citizen Science
Cambio Climático

About this position

🌊 PhD opportunity in Integrated Remote Sensing and Hydrological Modelling at the University of Naples Federico II, hosted by HydroLAB UNINA in the Department of Civil, Building and Environmental Engineering.

The project focuses on monitoring rivers and inland waters through an integrated framework combining satellite remote sensing (Sentinel-1/2/3, SWOT), camera-based and drone observations, citizen science and in situ sensing, and process-based hydrological and water quality modelling.

Ideal candidates should have a strong background in hydrology or water resources, programming skills in Python, R, or MATLAB, and experience with GIS and remote sensing data.

This opening is part of the PhD Programme in Sustainable Development and Climate Change and includes a 6-month research period abroad. The post references scholarship code C42.CU-Gamma.12.

For more information and applications, visit the programme website and follow the application instructions there.

Funding details

Scholarship code C42.CU-Gamma.12 is mentioned for the PhD position. The post also notes a 6-month research period abroad. No stipend amount or tuition details are provided.

What's required

Applicants should have a strong background in hydrology or water resources, programming skills in Python, R, or MATLAB, and experience with GIS and remote sensing data. The opportunity is for a PhD candidate in the PhD Programme in Sustainable Development and Climate Change.

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