Deep learning for poverty prediction from satellite images

When:
30/03/2020 – 31/03/2020 all-day
2020-03-30T02:00:00+02:00
2020-03-31T02:00:00+02:00

Annonce en lien avec l’Action/le Réseau : aucun

Laboratoire/Entreprise : FRB – CESAB, MONTPELLIER, FRANCE
Durée : 3 years max
Contact : laure.berti@ird.fr
Date limite de publication : 2020-03-30

Contexte :
The Foundation for research on biodiversity (FRB) was created in 2008. It gathers public research institutions, environmental NGOs, land and genetic resources managers and the private sector. It provides a forum where science meets society in order to address the current challenges related to biodiversity research. About CESAB The Centre for Synthesis and Analysis of Biodiversity (CESAB) is FRB’s main programme and a leading research organization in Europe, with an international reputation. Launched in 2008 after the “Grenelle de l’Environnement” by the Ministries for research and for ecology, it was created by eight
public research institutions (BRGM, CIRAD, CNRS, IFREMER, INRA, IRD, IRSTEA and MNHN), joined in 2014 by LVMH and in 2017 by the University of Montpellier. Its aim is to implement the innovative work of synthesis and analysis of existing data in the field of biodiversity.

Sujet :
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)).

Profil du candidat :
Qualifications
• PhD in Computer Science in the field of deep learning and machine learning
• Knowledge of satellite image analysis is a plus
• Proficiency in Python programming
• Fluent English
• Good communication skills
• Ambition to pursue high-profile and interdisciplinary research

Formation et compétences requises :
Application instructions
Please send your application to laure.berti@ird.fr, marc.chaumont@lirmm.fr, nicolas.mouquet@fondationbiodiversite.fr and carmen.gervet@ird.fr including:
• a detailed CV (research activities, publications, programming skills)
• a motivation letter
• the contact information of 2 referees.

Adresse d’emploi :
FRB – CESAB, 5, rue de l’École de Médecine, 34000 MONTPELLIER

Document attaché :