Principal Project Associate (ANRF-PPA)

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About the Organization

Established in 1982, Wildlife Institute of India (WII) is an internationally acclaimed Institution, which offers training program, academic courses and advisory in wildlife research and management. The Institute is actively engaged in research across the breadth of the country on biodiversity related issues.

The Institute's idyllic campus that has been carefully developed to create state of the art infrastructure encourages scholarly work.

Job Description

Title of the Project:  Study the Impacts of Morand-Ganjal Irrigation Project on Wildlife and Preparation of Wildlife Mitigation Plan

The candidate will be responsible for geospatial analyses, mapping of ecological corridors in and around the project area, LULC change analyses, forest fire analyses, map design and production and all other RS & GIS-based tasks. The candidate will be required to conduct field research, analyse/ interpret geospatial data and write reports/ manuscripts. The candidate must be self-driven and motivated, and work in coordination and consultation with the project team.

Education Qualification/Required Skills & Experience

• Master Degree in Engineering & Technology (Computer Science/Information Technology/ Remote Sensing/ GIS/ Data/Electrical Engineering/electronics & communication/AI Technology/Data Science) from recognized institute/ University AND Six years of experience (after obtaining Master Degree in Engineering & Technology) in R&D in Industrials or Science & Technology Institutions or Scientific activities and Services

                                OR

• Doctoral Degree in Science/ Engineering & Technology from recognized institute/ University AND Four years of experience (after obtaining Doctoral degree) in R&D in Industrials or Science & Technology Institutions or Scientific activities and Services

Desirable Qualification(s)

• Experience in GIS/ RS software such as ERDAS Imagine, QGIS & ArcGIS, strong modelling and data analytics skills, knowledge of coding in R and/ or Python, and should have prepared research/ technical reports with significant geospatial data analyses component.

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