The selected candidate will prepare and analyze maps such as Carbon Stock Mapping, Land Use Land Cover (LULC) Mapping, Land Cover Change Analysis, Forest Canopy Cover and Fractional Vegetation Cover Mapping, and Regression Model Development for Spatial Data Analysis. They will handle publicly available GIS datasets, crowd-sourcing platforms, and remote-sensing databases. Responsibilities also include conducting Forest Biomass Assessments, applying advanced RS-GIS techniques, implementing programming for geospatial data processing, and utilizing AI/ML techniques for geospatial applications. The candidate will contribute to ecological modeling, remote sensing indices analysis, and spatial data processing in collaboration with interdisciplinary teams for project execution and reporting.
Experience
1 - 2 Years
Qualification
M.Sc./M.Tech. in Remote Sensing & GIS- Geoinformatics- Data Science- Artificial Intelligence- Machine Learning- or related fields of Geospatial Technology Applications.
Skills
1. Proficiency in satellite data processing- image correction- and analysis.
2. Robust expertise in GIS software (such as- ArcGIS- TerrSet- QGIS- ENVI- ERDAS Imagine) and remote sensing tools.
3. Programming skills in Python- R- or other relevant languages.
4. Familiarity with cloud computing platforms and open-source GIS solutions.
Location
Delhi
Salary
As per industry standards
Please apply latest by September 11, 2026
📌 Research Associate (Delhi)
🏢 TERI
📍 Delhi
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