All students admitted to the Ph.D. programme are required to go through coursework for one year. During this pre-Ph.D. programme, students will be exposed and orientated to the interdisciplinary nature of issues in the areas of environmental studies and natural resources management. They must develop a basic knowledge of economics, social science, policy and research methodology in addition to a sound knowledge of ecological/environmental science. After successfully completing their pre-Ph.D. courses, students are registered for Ph.D.
Admissions are open through the year. However, applications will be considered until 31 May and 31 October for admissions in the semesters commencing July and January each year.
1. No. of seats available of PhD admission in July 2019: 03
2. Preferred areas of research interest:
• Geospatial science for Environment, disaster management, environmental health
• Biodiversity and Conservation. Forest Landscape Restoration. Impacts of pollution on biodiversity.
Admission will be made based on written tests and interview. A weightage of 70% to the written tests and 30% to the performance in interviews shall be given. Written test will have two papers of equal weightage. Paper I will be on ‘Research Methodology’ which will be a common paper for admission in all departments of the University. Paper II will be department/subject specific.
Syllabus for Paper II
Biodiversity and Conservation : Fundamentals of Ecology. Concept of Ecosystems, functioning services and assessment techniques. Significance of Biodiversity Conservation and monitoring techniques . Concept of Biodiversity ‘Hotspots’, Ecoregions and ‘Key Biodiversity Areas’. The IUCN Red listing process for conservation categorization. Protected Areas in India and its planning. National and Global Legislations for Biodiversity Conservation. Global Conventions: CBD, Ramsar, UNCCD, CITES and CMS. Land degradation and Forest landscape Restoration. Sustainable Forest management and Forest Certification.
Geospatial science for environment: Basics of remote sensing, electromagnetic radiation, radiation laws, platforms and sensors, resolutions, multispectral scanning principle, spectral signature, visual interpretation, digital image processing, vegetation indices, basics of GIS, data models, projection, datum, spatial reference system, spatial queries, geoprocessing, spatial analysis, remote sensing and GIS integration, basics of statistics, measure of center, measure of variation.
Contact Dr Sudipta Chatterjee (email@example.com) for any query related to PhD admission in Department of Natural Resources.