We are seeking candidates with expertise in air pollution to generate evidence-based insights that can inform and drive mitigation efforts. The role calls for proficiency in statistical techniques and mathematical modelling, coupled with a strong understanding of core air pollution concepts. Candidates should demonstrate the ability to analyse and visualise data effectively, drawing actionable conclusions that can support policy and practice. A thorough grounding in bottom-up emission inventory development is essential, along with familiarity with the National Clean Air Programme (NCAP) and working knowledge of monitoring–evaluation–learning frameworks. The role also entails conducting comprehensive reviews of academic literature and best practices to deliver high-quality research outputs, with a focus on air quality indicators, implementation strategies, and their evaluation.

Responsibilites

• Collect and analyse diverse datasets to generate insights on air pollution.
• Develop and maintain bottom-up emission inventories.
• Contribute to multi-disciplinary projects through documentation, proposal writing, report preparation, project development, and drafting of technical reports and other knowledge outputs
• Conduct policy gap analyses and identify drivers of policy change through literature review and stakeholder engagement.
• Collaborate with CSTEP’s Air Quality Observations and Modelling teams to develop air quality indicators tailored to the Indian context.
• Participate in conferences, workshops, and training programmes to strengthen expertise on air pollution risks.

Qualifications

Master’s degree in a discipline related to air pollution, atmospheric chemistry, general science, environmental science, environmental economics, engineering and public policy, or similar disciplines from a recognised university

Skill Set

• Strong knowledge of NCAP, city action plans, XV Finance Commission reporting, and broader aspects of air quality management and policy in India.
• Familiarity with mitigation technologies and demonstrated experience in cost analysis.
• Expertise in financial modelling and techno-economic assessment will be an added advantage.
• Proficiency in data analysis tools and programming languages, such as GIS, Python, R, or similar.
• Experience working with Microsoft Office applications (Word, PowerPoint, Excel).
• Excellent communication skills in English (written and oral); proficiency in Kannada, Punjabi, or another regional language will be an asset.

Duration

6-12 months

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