(FA): Fellowship Awardee
Valid and relevant TOEFL or IELTS is essential with GRE.
Qualification in GATE/CSIR or UGC-NET/CSIR-PhD only qualification is essential.
Master's degree (MTech/M.E./MSc/MA or equivalent) in Engineering, Environmental & Climate Sciences, Earth & Atmospheric Sciences, Physical Sciences, Life Sciences, Social Sciences, Geoinformatics, Economics, Law, Public Policy, Statistics, Computer Science, Energy Engineering, Chemical Engineering, Metallurgical Engineering, Physics, Chemistry, Nano Science, Material Science or M. Tech: Civil Engineering, Land and Water Resources Engineering, Water Resources Engineering, Hydrology, Climate Science, Statistics allied disciplines with First Division*.
B.Tech./B.E. in relevant disciplines with CGPA ≥ 8.5.
GATE required, except for IIT graduates, who are exempted from GATE.
Mandatory national-level qualification: GATE / UGC-NET / CSIR-NET in the proposed PhD subject area.
Applicants should demonstrate interest in at least one of the following areas of Sustainability:
| Core Themes | Specific Research Areas |
|---|---|
| Environmental Economics & Law |
Environmental Economics: Climate change economics, Sustainable development, Environmental policy, natural resource economics (land, water, forests, fisheries, etc.), Economic valuation and impact assessment, circular economy and waste management, and energy economics, computational sustainability Environmental Law: Climate change law, regulation and policy, biodiversity and habitat conservation research, pollution control and hazardous waste management strategies, environmental justice, corporate environmental liability, climate migration and refugees |
| Energy Systems | Novel battery chemistries (Solid-State, Sodium-ion, Mg-ion, Li-S) Advanced battery materials (high capacity, graphene based, quantum dot), Energy storage technologies, grid integration and management, Power electronics, renewable energy systems, systems analysis, Energy efficiency and GHG mitigation, Bio Energy and Recycling and Energy Conversion |
| Water and Climate Studies | Flood Hydrology, Hydrologic Extremes, Resilience of River Basins and Hydrological Modeling, Hydro-climatology and Statistical Downscaling, Irrigation Management and Crop Modeling Applications, Multivariate Statistical Analysis, Machine Learning Models and Data Mining, IoT and AI for Sustainability, air pollution and water pollution and their monitoring and treatments |