2025-577 : Researcher in remote sensing for the monitoring of agronomic practices M/F

Field / profession : SCIENCE - Chercheurs-es/Chercheurs-es
Position open to :: Contract workers
Job description :
Context and Objectives You will participate in the 4S project, funded by the Fond de Dotation Roullier and led by IRD. The general objective of this project is to evaluate the agroecological potential of the practice of adding sediment from reservoir bottoms to agricultural plots in India. The project is being carried out in the Berambadi watershed (South India), which is part of the M-Tropics observatory of the OZCAR network. One of the actions of this project concerns the spatiotemporal characterization of practices in the BV, using surveys (going back to the 50's) and remote sensing (for the last 8 years). A first study carried out on the Berambadi BV demonstrated that the addition of sediment to agricultural plots leads to an increase in the textural clay content of soils in the short term (and therefore to a modification of soil structure) in amended soils. A second study demonstrated the feasibility of detecting this increase in soil textural clay after sediment application by processing Sentinel-2 data. Your mission You will map this agricultural practice using remote sensing for the 2017 to 2024 dry seasons in the Berambadi watershed. You will use the Sentinel-2 time series. Note that for the years 2023 and 2024, Venµs data at 4 m resolution are also available for the study area and can also be used. You will then use these maps to study the spatial and temporal dynamics of this practice over the last 8 years in relation to environmental factors (sediment availability, rainfall). More specifically, you will be responsible for: adapting and optimizing existing processing chains to produce maps of the farming practice from 2018 to 2025. analyzing the spatial and temporal dynamics of this practice. publishing the codes produced on a public code repository (GitHub) and documenting them. writing a scientific paper on this work. Your future team You will be part of UMR LISAH's "Soil resources under global change" team, which aims to develop knowledge, methods and tools to better understand soil, the factors and mechanisms that govern its differentiation in space (from soil profile to region) and time (from rainy event to multi-decade), in relation to climate, cropping practices and cultivated landscape infrastructures. You will participate in the 4S project, funded by the Fond de Dotation Roullier, which brings together researchers from the French laboratories Eco&Sols (Montpellier), IEES (Paris), GET (Toulouse) and GEAU (Montpellier), and researchers from the Indian laboratories IISc (Bangalore) and NBSS&LUP (Bangalore).

You have developed the following skills: Skills/knowledge required: PhD in remote sensing applied to environmental sciences. Mastery of scripting languages, preferably R. Interest in soil sciences. English language: above B1. Skills/knowledge required but optional: Expertise in statistics. Expertise in parallel scientific computing. Mastery of calculation code design and development, version management in a Unix/Linux environment (git). Writing of user documentation (Markdown). You have the following human qualities: Autonomy. Ability to adapt and conceptualize. Rigor / Reliability. Scientific curiosity and critical thinking. You have a level 8 diploma. Desired professional experience: 0 to 2 years. Application file Up-to-date CV. List of publications. A cover letter describing your motivations and research experience (one page only). One or two letters of recommendation with full contact details. By sending their contact details, you agree to us contacting your references during the selection process.