Research Associate

About TERI - The Energy and Resources Institute

A dynamic and flexible organization with a global vision and a local focus, TERI was established in 1974, with the initial focus on documentation and information dissemination. Research activities, initiated towards the end of 1982, were rooted in TERI’s firm conviction that efficient utilization of energy and sustainable use of natural resources would propel the process of development.  All activities in TERI, the largest developing-country institution working towards sustainability, move from formulating local- and national-level strategies to shaping global solutions to critical issues. Buoyed by more than 50 years of excellence in research and innovation, TERI is now poised for future growth, driven by a global vision and outreach, with a philosophy that assigns primacy to enterprise in government, industry, and individual actions.

Job Profile

The selected candidate will prepare and analyse 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 modelling, 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./MTech. in Remote Sensing & GIS- Geoinformatics- Data Science- Artificial Intelligence- Machine Learning- or related fields of Geospatial Technology Applications.

Skills

• Proficiency in satellite data processing- image correction- and analysis.
• Strong expertise in GIS software (such as- ArcGIS- TerrSet- QGIS- ENVI- ERDAS Imagine) and remote sensing tools.
• Programming skills in Python- R- or other relevant languages.
• Familiarity with cloud computing platforms and open-source GIS solutions.

For more information, please check the link: Research Associate

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