We’re seeking a technically grounded and impact-driven professional to lead our climate risk analytics and modelling work, with a focus on Heat Mapping and Risk Analysis. The role calls for a blend of scientific rigour, spatial insight, and policy understanding, translating high-resolution climate and socio-economic data into actionable risk intelligence for national and city-level decision-makers.

Responsibilities

• Lead the design and implementation of national- and city-scale heat risk mapping and analysis frameworks, aligned with IPCC AR6 methodologies and tailored to India’s rapidly urbanising regions.
• Oversee climate data processing and analysis and develop compound and cascading risk models that integrate heat, flood, and drought interactions using statistical and machine learning approaches.
• Guide spatial analysis and GIS-based mapping of hazards, exposure, and vulnerability for integration into interactive dashboards and decision-support tools.
• Ensure scientific accuracy and policy relevance by providing technical oversight for data-driven visualisation platforms.
• Collaborate with national and state agencies to embed risk analytics into planning and policy decision-making processes.
• Develop research publications, policy briefs, and presentations that enhance CSTEP’s thought leadership in climate and disaster risk domains.
• Mentor analysts and senior analysts, contribute to proposal development and fundraising, and support capacity-building initiatives with government and civil society partners.

Qualifications

PhD or Master’s degree in Climate Science, Atmospheric Science, Environmental Engineering, Geography, or Geoinformatics, with specialisation in heat stress, urban climatology, or multi-hazard risk modelling

Skill Set

• Proven track record of working with interdisciplinary teams, publishing in peer-reviewed journals, and engaging with government or donor-led climate initiatives.
• Experience in urban heat island analysis, hazard–exposure–vulnerability assessments, or the development of climate service tools is preferred.
• Proficiency in data analytics and programming (Python, R, etc.) for statistical and spatial modelling; hands-on experience with QGIS/ArcGIS Pro and Power BI/Tableau.
• Strong familiarity with climate datasets (IMD, CMIP6, ERA5, MODIS, and CORDEX) and geospatial data processing workflows.
• Excellent analytical, mentoring, and communication skills.
• Ability to translate complex scientific evidence into actionable insights, strategies, and tools for policymakers.

We’re seeking a technically grounded and impact-driven professional to lead our climate risk analytics and modelling work, with a focus on Heat Mapping and Risk Analysis. The role calls for a blend of scientific rigour, spatial insight, and policy understanding, translating high-resolution climate and socio-economic data into actionable risk intelligence for national and city-level decision-makers.

Responsibilities

• Lead the design and implementation of national- and city-scale heat risk mapping and analysis frameworks, aligned with IPCC AR6 methodologies and tailored to India’s rapidly urbanising regions.
• Oversee climate data processing and analysis and develop compound and cascading risk models that integrate heat, flood, and drought interactions using statistical and machine learning approaches.
• Guide spatial analysis and GIS-based mapping of hazards, exposure, and vulnerability for integration into interactive dashboards and decision-support tools.
• Ensure scientific accuracy and policy relevance by providing technical oversight for data-driven visualisation platforms.
• Collaborate with national and state agencies to embed risk analytics into planning and policy decision-making processes.
• Develop research publications, policy briefs, and presentations that enhance CSTEP’s thought leadership in climate and disaster risk domains.
• Mentor analysts and senior analysts, contribute to proposal development and fundraising, and support capacity-building initiatives with government and civil society partners.

Qualifications

PhD or Master’s degree in Climate Science, Atmospheric Science, Environmental Engineering, Geography, or Geoinformatics, with specialisation in heat stress, urban climatology, or multi-hazard risk modelling

Skill Set

• Proven track record of working with interdisciplinary teams, publishing in peer-reviewed journals, and engaging with government or donor-led climate initiatives.
• Experience in urban heat island analysis, hazard–exposure–vulnerability assessments, or the development of climate service tools is preferred.
• Proficiency in data analytics and programming (Python, R, etc.) for statistical and spatial modelling; hands-on experience with QGIS/ArcGIS Pro and Power BI/Tableau.
• Strong familiarity with climate datasets (IMD, CMIP6, ERA5, MODIS, and CORDEX) and geospatial data processing workflows.
• Excellent analytical, mentoring, and communication skills.
• Ability to translate complex scientific evidence into actionable insights, strategies, and tools for policymakers.