Engage with the French convergence institute CLAND as a Postdoctoral Researcher in Agri-Environmental Science, focusing on the mapping of organic nitrogen sources using remote sensing. This role is designed for a 12-month period. CLAND, in coordination with ECOSYS, invites applications from PhD holders skilled in remote sensing, data science, or environmental sciences.

Candidates should be familiar with geospatial processing and have an interest in livestock systems and nitrogen biogeochemical cycles. This position is ideal for those aspiring to further their scientific career through interdisciplinary research. Key Responsibilities:

- Construct a georeferenced training set from BDNI–RPG data
- Develop a model connecting building features to herd sizes




- Map annual herd dynamics through satellite proxies
- Identify organic manure hotspots and trends
- Present research findings at scientific events and in journals Requirements:
- PhD in relevant fields acquired or nearing completion
- Solid background in GIS and data processing
- Understanding of nitrogen cycles and livestock systems advantageous
- Experience in publication writing for peer-reviewed journals
- Effective communication in English; French knowledge is a plus Drive research on agricultural nitrogen dynamics and carbon storage with CLAND.

📌 Postdoctoral Position in Agri-Environmental Science (Montreal)
🏢 INRAE Ecosys
📍 Montreal