Doctoral student in Earth Observation, Data Science, and AI for poverty
Core
Develop deep-learning methods to estimate multidimensional poverty from satellite imagery of African communities and evaluate progress toward Sustainable Development Goals.
Role type
Doctoral student (researcher)
Builds
Deep-learning models for poverty estimation, open-source statistical software
Domain
Earth Observation, Data Science, AI for Social Good
Deliverable
production ML models | research
Required skills
deep learning, satellite imagery analysis, statistical learning theory, machine learning
Preferred skills
explainability methods, computational cost analysis, interdisciplinary collaboration
Technologies
Sentinel-2, Pléiades, Landsat
Responsibilities
Develop deep-learning methods for poverty estimation from satellite imagery, compare satellite data quality and computational costs, apply AI explainability methods to model predictions
Seniority
Doctoral student (early career researcher)
