PhD Candidate – Remote Sensing and AI Synergy Full-time

Spatial Technology and AI Synergy for Studying the Impact of Climate Modification and Air Quality on Natural Resources and Land Management

Context

Climate change, air quality degradation, and water scarcity pose significant threats to natural resources and land management, with detrimental consequences for sustainable agriculture. Spatial technologies and artificial intelligence (AI) offer powerful tools to study these issues and develop sustainable solutions.

Project Description

The project aims to explore the synergy between spatial technologies and AI to investigate the impact of climate change and air quality on natural resources (especially water resources management) and land management, with an emphasis on sustainable agriculture. The PhD candidate will utilize satellite data, AI models, and other methods to:

• Map and monitor land use changes, vegetation cover, ecosystem health, and water resources.
• Assess the impact of climate change, air quality degradation, and water resources management on agricultural productivity, food security, and the sustainability of agricultural practices.
• Assess the water resource deposits in connection with climatic and meteorological conditions
• Integrate spatial technology and AI for the exploration and exploitation of new water resources nationwide
• Evaluate the environmental quality and air quality index in connection with passive water resources
• Study the impact of land use and land cover changes and demographic growth on water resources, agricultural land performance, and food security
• Develop decision-support models for sustainable land, natural resource management, and promoting sustainable agricultural.
• Develop a new business model to preserve resources at the territorial scale.

Candidate Profile

• Master’s degree in environmental science, remote sensing, computer science, agronomy, or a related discipline.
• Experience in spatial data analysis, programming, and modeling.
• Knowledge of machine learning, deep learning and AI techniques.
• Strong communication and writing skills.
• Ability to work independently and as part of a team.

To Apply

Applicants should submit a CV, a letter of motivation, two letters of recommendation, and a research statement outlining the candidate’s proposed contributions to the project.

Additional Information

Thesis director: Prof. Hicham BAHI

Entity: African Research Center on Air Quality and Climate (UM6P)