News - Job offer, thesis subject

Position : CDD
Date : Sept. 1, 2024
Contact Mail : , tel : 04 73 40 78 85

Postdoc : Deep Learning, Satellite Images, Applications in Disaster Risk Reduction

The LIMOS (Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes) and the CERDI (Centre d’Etudes et de Recherches sur le Développement International) are seeking a researcher who has recently defended or should be very close to finishing a PhD in Computer Science or Applied Mathematics.
The candidate will be part of a multidisciplinary team working on Artificial Intelligence for Good and Disaster Science in the scope of the DLISCES project.

The candidate will join the LIMOS and collaborate closely with the CERDI.

The LIMOS is the Laboratory of Informatics, Modelling, and Optimization of Systems in Clermont-Ferrand and comprises over 240 scholars specializing in computing and more generally in sciences and technologies of information and communication.
The candidate will be immersed in a vibrant scientific environment dedicated to artificial intelligence.

The CERDI is recognized as a leading institution in research dedicated to international development economics. A research program has existed for several years at the CERDI on sustainable development issues embedding risk economics, natural resources and environmental economics.

Project description :
The project contributes to the study of the complex interactions between societies and natural disasters, in particular in developing countries and the path between research and political decision-making, which is the objective of the International Research Center of Disaster Science and Sustainable Development of the University Clermont Auvergne that funds the DLISCES project.
The conventional construction of vulnerability indicators is partial and relies on economic and social data gathered through household surveys.
In this context, the DLISCES project seeks to leverage deep learning and machine learning techniques to analyze readily available satellite images in conjunction with socio-economic data and/or environmental data.
The goal is to estimate human and material vulnerability indicators across an entire territory.
The objective is to jointly exploit satellite images, georeferenced socio-economic data, and various spatialized information to estimate different variables across the entire considered region and ultimately produce comprehensive and accurate maps of vulnerability indicators.

Application procedure :
The position is for 2 years starting September 2024 or earlier. The gross annual salary is €31,500-34,000 depending on experience and includes a benefits package (health insurance plus retirement and unemployment benefits).
Review of applications will start immediately and continue until the position is filled.
The closing date for applications is 31st of May 2024.
Applications containing a CV including publications (max 2 pages), and a cover letter (max 2 pages) should be sent electronically to Julien Ah-Pine ( and Pascale Phélinas (
Two reference letters or the contacts of two referees are also required.

More informations below :