We are seeking a Senior Analyst (fixed-term) to join the Air Quality Policy and Outreach team, contributing to emission inventory development, techno-economic analysis, and stakeholder engagement.

Responsibilities

• Collect and analyse datasets from government sources, field surveys, and stakeholder consultations.
• Develop bottom-up emission inventories across all sectors.
• Apply basic GIS knowledge in the context of air pollution emission inventories; independently use QGIS to generate gridded emission inventory maps at city and hyperlocal scales.
• Assist with, and where possible lead, transport emission inventory field surveys.
• Conduct policy gap analysis and assess drivers of policy change through literature review and stakeholder engagement.
• Participate in relevant conferences, workshops, and training programmes to strengthen understanding of air pollution risks.
• Contribute to multidisciplinary projects, including proposal development, report writing, and project execution.
• Support the Air Quality sector’s capacity-building programmes.
• Develop air quality indicators relevant to Indian contexts, working closely with the Atmospheric Composition Observations and Modelling teams.
• Prepare documentation and technical reports.

Qualifications

• Master’s degree in Environmental Science, Environmental Engineering, Chemistry, or Atmospheric Sciences.
• Master’s degree in Public Policy may be considered, provided the candidate has a minimum of 3 years’ experience in air quality management within a leading research organisation.

Skill Set

• Well versed in NCAP, city action plans, XV Finance Commission reporting, and air quality management and policy in India.
• Expertise in financial modelling and techno-economic assessment will be an advantage.
• Excellent written and verbal communication skills in English. Proficiency in Kannada, Odia, Tamil, Malayalam, Punjabi (Gurmukhi), or another regional language will be an advantage.
• Knowledge and hands-on experience in programming languages and data analysis tools, such as GIS, Python, or R.
• Proficiency in Microsoft Office (Word, PowerPoint, and Excel).
• Strong analytical skills, including the ability to review data, identify patterns, and draw logical conclusions.
• Good understanding of mitigation technologies, with demonstrated experience in cost analysis.

Duration

24 months (fixed term)

We are seeking a candidate to support the Adaptation and Risk Analysis Group in the ongoing work on multi-hazard risk assessment, including floods, landslides, heatwaves, and droughts.

Responsibilities

• Assist in hazard modelling and risk assessment for floods, landslides, and extreme precipitation events.
• Perform geospatial analysis using GIS software (ArcGIS/QGIS) for hazard mapping and vulnerability assessment.
• Support the development of hazard susceptibility and risk maps using statistical or machine learning approaches.
• Assist in data pre-processing and visualisation using programming tools (Python/R).
• Compile and manage datasets from sources such as satellite observations and climate data.
• Contribute to technical reports, documentation, and presentations.
• Support the team in literature review and methodological development related to hazard and climate risk modelling.

Qualifications

• Pursuing a master’s degree in civil engineering, hydrology, water resources, environmental engineering, geoinformatics, climate science, data science, or a related field.
• Evidenced interest/internships working on similar projects (0-1 years’ experience). 

Skill Set

• Knowledge of modelling tools for hazard assessment or modelling.
• Experience with remote-sensing data processing.
• Familiarity with climate datasets (e.g. rainfall, temperature, and climate indices) and hazard drivers.
• Strong analytical, documentation, and communication skills.
• Strong organisational skills, with the ability to manage multiple tasks and work independently.
• Proficiency in Microsoft Office Suite and Google Workspace.
• Basic understanding of natural hazards and climate risk assessment.
• Familiarity with GIS software (ArcGIS/QGIS).
• Basic programming skills in Python or R.
• Experience handling geospatial and climate datasets will be an advantage.

Duration

3 months