CESAB Montpellier, France is looking for a postdoc as part of the PARSEC project funded by the Belmont Forum and the Foundation for Research on Biodiversity (FRB).
The candidate will implement and compare various deep learning architectures for characterizing poverty in the context of land desertification and predict consumption expenditure, using satellite images in various resolutions (e.g. Sentinel 2 sensor with 10 to 60 m resolution and 13 spectral bands, optical SPOT 6/7, and Pleiades images with spatial resolution of 1.5 m and 0.5 m respectively) and other data sources (e.g., the World Bank’s Living Standards Measurement Study surveys, LSMS – http://surveys.worldbank.org/lsms), the Demographic and Health Surveys (DHS – https://dhsprogram.com), and the Oxford Poverty and Human Development Initiative (OPHI – https://ophi.org.uk)).
The preferred start date is May 2020, but negotiable.
Opportunity Type: Postdoc
