We are seeking a Research Intern to support data collection, collation, and preliminary analysis for a field-based study in Puri District, Odisha. The intern will work under the Adaptation and Risk Analysis team within the Climate, Environment and Sustainability sector. This position offers an excellent opportunity for individuals passionate about agriculture, environmental economics, and development policy to gain hands-on research experience.

The intern will contribute to a cost–benefit analysis (CBA) of scaling up Climate-Smart Agriculture (CSA) practices, a project supported by the Gates Foundation. The research aims to (a) estimate the costs and benefits of CSA interventions for various stakeholders, including farmers, government, and allied industries and (b) assess and compare different models for implementing and scaling CSA practices in Puri District.

Responsibilities

• Collect secondary data from public sources, district-level government records, industry reports, and academic research.
• Assist in compiling cost and benefit data related to CSA interventions (e.g. micro-irrigation, improved seeds, and organic practices).
• Support the collection of financial data from allied industries, including seed suppliers and equipment manufacturers.
• Help estimate subsidy costs to governments at both the district and state levels.
• Organise and clean datasets to prepare them for analysis.
• Summarise findings to be incorporated into the cost–benefit analysis framework.

Qualifications

Currently pursuing a master's degree in economics, agricultural economics, development studies, environmental science, or related fields

Skills

• Strong research and analytical skills
• Interest in climate change, sustainable agriculture, or rural development
• Ability to work independently and meet deadlines
• Proficiency in Excel, Google Sheets, or data programming languages such as R or Python is a plus

Duration

3–6 months

The Research Consultant will be involved in the project ‘Odisha Climate Support Unit nested within the Department of Agriculture and Farmers’ Empowerment, Government of Odisha’, to promote Climate-Smart Agriculture (CSA) for a resilient Odisha. The Consultant will lead and support value chain and cost–benefit assessments of agricultural practices promoted through the project. The role will involve working closely with project teams and stakeholders in Odisha to map value chains, estimate costs and benefits of intervention across actors, and assess economic viability and scalability potential.

About the Project

The project aims to strengthen the climate resilience of agriculture systems in Odisha by identifying, prioritising, and scaling context-specific CSA practices. As part of the second phase of this initiative, we are undertaking a Value Chain Analysis and/or Cost–Benefit Analysis of selected CSA interventions to inform government uptake and investment decisions.

Responsibilities

• Conduct value chain analysis or cost–benefit analysis of selected CSA practices/interventions.
• Engage with Farmer Producer Organisations, Self-Help Groups, Civil Society Organisations, line departments, and private sector actors to collect primary data.
• Collate and analyse secondary data from existing literature, government schemes, and databases.
• Estimate costs, savings, and benefits to farmers, government, and private partners.
• Identify constraints, bottlenecks, and policy or institutional gaps along the value chain.
• Liaise with field teams and government partners to validate findings and co-develop recommendations.
• Prepare research outputs: policy briefs and presentations on stakeholder uptake.

Qualifications

• Master’s degree in Agricultural Economics, Development Economics, Rural Management, Agribusiness, Public Policy, or related fields
• PhD in a related discipline with demonstrated expertise in value chain or economic analysis in agriculture, with at least 2 years of relevant work experience

Skill Set

• Proven experience in conducting empirical research, preferably in agriculture or natural resource sectors.
• Strong analytical skills with proficiency in undertaking Value Chain Analysis / Cost–Benefit Analysis
• Proficiency in Excel or R for analysis is a plus.
• Experience in stakeholder engagement, especially in rural/agricultural settings.
• Excellent written and verbal communication skills.
• Familiarity with Odisha’s agricultural context is an advantage.

Duration

8 months

We are seeking a Geospatial Analyst to collect, analyse, and visualise spatial data in support of research on climate, energy, and sustainability.

Responsibilities

• Collect, create, edit, and manage spatial and tabular data using ESRI ArcGIS Pro and/or QGIS.
• Perform core spatial analyses and geoprocessing tasks (e.g. overlay analysis, spatial queries, and zonal statistics) to support research projects.
• Conduct rigorous quality assurance and quality control (QA/QC) on geospatial data and outputs.
• Develop clear, concise, and publication-quality static maps and figures for reports, briefs, and presentations.
• Provide geospatial support to a multidisciplinary team of researchers and analysts.
• Document data sources, methodologies, and analytical workflows with precision.
• Stay updated on emerging trends, tools, and technologies in the geospatial field.

Qualifications

• Bachelor’s or Master’s degree in Geography, Geoinformatics, Environmental Science, Geomatics, or a related field.
• Strong foundational knowledge of GIS concepts, cartographic design, and spatial analysis.
• Demonstrated hands-on experience with ESRI ArcGIS Pro and/or QGIS, gained through academic projects, internships, or professional work.

Skill Set

• Genuine interest in applying geospatial skills to climate, energy, and sustainability challenges.
• Strong analytical and problem-solving abilities with keen attention to detail.
• Excellent written and verbal communication skills.
• Familiarity with tools such as Google Earth Engine (GEE) for satellite data analysis is an added advantage.
• Basic programming skills for automation, preferably in Python (e.g. Pandas, GeoPandas, Rasterio), will be valued.
• Knowledge of remote sensing concepts (e.g. spectral indices like NDVI and NDBI) is desirable.
• A portfolio of academic or personal projects (e.g. GitHub repository or online map portfolio) will be considered a strong plus.