Publisher
source

Mines-Rabat

Just Landed

PhD in Integrated Environmental Monitoring, Geospatial Analysis, and Spatial Decision-Support Mines-Rabat in Morocco

Degree Level

PhD

Field of study

Computer Science

Funding

A doctoral scholarship may be granted, covering partial research expenses and providing a monthly stipend.

Deadline

Sep 30, 2026

Country flag

Country

Morocco

University

Mines-Rabat

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Environmental Science
Biology
Remote Sensing
Geography
Biodiversity
Spatial Analysis
Earth Science
Earth Observation
Decision Support System

Suggested positions

About this position

PhD opportunity in environmental monitoring, geospatial analysis, environmental data science, and decision-support at Mines-Rabat (ENSMR, ex-ENIM), with field sites in the Atlas Cedar Biosphere Reserve (ACBR), Morocco.

The project focuses on integrated environmental monitoring, multi-source data analysis, and spatial decision-support for ecological assessment. The research sits at the intersection of GIS, remote sensing, Earth observation, environmental data engineering, and quantitative analysis. The PhD will work with real monitoring datasets and field observations to build reproducible methods, indicators, and workflows that can support ecological monitoring and environmental management.

Key objectives include: structuring and harmonizing heterogeneous environmental data; developing spatial indicators and reproducible workflows for ecological assessment and monitoring prioritization; and validating the methods using operational datasets to produce practical decision-support outputs.

Eligible candidates should have a Master’s degree, State Engineering diploma, or equivalent in environmental engineering, geosciences, geomatics, remote sensing, GIS, data science, environmental modeling, or a related area. Strong skills in QGIS/ArcGIS and spatial data processing are important, and experience with Sentinel, Landsat, Google Earth Engine, Python, R, JavaScript, databases, machine learning, or image analysis is an advantage. The post also highlights interest in biodiversity, ecological systems, fieldwork, and multidisciplinary collaboration, plus proficiency in English, French, and Arabic.

Funding: a doctoral scholarship may be granted, covering partial research expenses and providing a monthly stipend.

Deadline: 30/09/2026. Apply by sending a CV and cover letter to [email protected] and submitting the application through the online portal.

Funding details

A doctoral scholarship may be granted, covering partial research expenses and providing a monthly stipend.

What's required

Applicants should hold a Master’s degree, State Engineering diploma, or equivalent in environmental engineering, geosciences, geomatics, remote sensing, GIS, data science, environmental modeling, or a related field. Strong GIS skills (QGIS/ArcGIS) and spatial data processing ability are required, along with aptitude for quantitative and computational analysis. Knowledge of remote sensing/Earth observation (Sentinel, Landsat, Google Earth Engine), Python/R/JavaScript, databases, machine learning, or image analysis is an asset. Interest in environmental monitoring, biodiversity, ecological systems, and decision-support is expected, as well as motivation for fieldwork and multidisciplinary collaboration. Good scientific communication skills and proficiency in English, French, and Arabic (written and spoken) are required.

How to apply

Send your CV and cover letter to [email protected] and submit the application through the online platform. Use both the email and the application portal provided in the post.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?