Council on Energy, Environment and Water (CEEW), New Delhi
Programme Associate GeoAnalytics- Tech and AI
Terms of reference

At CEEW, we are deliberate about what we stand for (and what we don’t stand for!) as an employer. If the description below resonates with you, we would love to hear from you!

At CEEW, we build careers in public policy

• We offer strong visionary leadership – with emphasis on research and impact at scale
• We actively promote leadership by initiative
• We celebrate talent and ambition
• You will be surrounded by smart people who will challenge you and help you grow
• You will learn faster than your peers in other organisations
• Curiosity and irreverence, as well as responsibility, come together at CEEW
• You will get above-market remuneration
• We provide a safe space for all
• At CEEW, your life is your example for others

Designation offered: Programme Associate GeoAnalytics
Focus area: Technology & AI
Location: New Delhi, India
Duration: Full-Time

Purpose
CEEW seeks to hire a Programme Associate – GeoAnalytics to lead applied geospatial research and develop analytical tools that support climate resilience, clean air and sustainable urban development. Working within the Tech and AI team and across CEEW’s research programmes, the candidate will combine satellite observations, ground measurements and socioeconomic data to address policy and planning questions at national, state, city and neighbourhood scales.

The role will contribute to climate-intelligence platforms such as CRAVIS and the Climate Risk Atlas, and to mobility initiatives such as BBUS. It will involve developing reproducible geospatial workflows, applying and validating machine-learning models, and translating results into maps, research outputs and decision-support tools for government and other users.

Job duties and accountabilities / Roles & Responsibilities
Geospatial research

• Lead applied geospatial research using GIS, remote sensing and GeoAI, from framing research questions and selecting methods to validation, interpretation and documentation.
• Develop scalable workflows in Google Earth Engine and Python to process satellite imagery, climate records, terrain data, infrastructure, population and field observations across geographic scales.
• Undertake spatial assessments of urban heat, air quality, floods, landslides and environmental exposure, integrating satellite, sensor and ground observations with population and infrastructure data.
• Apply network analysis, urban morphology, accessibility assessment and multi-criteria methods to sustainable mobility and urban planning, including demand estimation and the identification of potential bus corridors and service gaps.
• Develop and evaluate statistical and machine-learning models for classification, prediction and prioritisation. Assess data quality, spatial and temporal leakage, uncertainty and transferability through independent validation.
• Evaluate emerging geospatial datasets and analytical methods for accuracy, coverage, resolution and suitability for Indian policy applications. Document limitations and communicate findings in terms relevant to planning and policy.

Data products and programme delivery

• Develop and maintain documented datasets, indicators and processing pipelines for CRAVIS, the Climate Risk Atlas and other analytical products, ensuring consistency across locations, time periods and updates.
• Work with software and product colleagues to translate research methods into dashboards, interactive maps, scenario tools and analytical modules. Define data structures and acceptance criteria, and verify displayed results against source analyses.
• Maintain data dictionaries, standard operating procedures and reproducible outputs. Apply appropriate data licensing, access controls and privacy safeguards.
• Plan and deliver assigned workstreams, coordinate inputs across teams and partners, and identify data or implementation constraints early. Review outputs and maintain clear documentation for continuity and handover.
• Prepare research reports, policy briefs, technical notes, presentations and visualisations. Contribute to proposals and concept notes, including methods, data requirements, timelines and resource estimates.

Stakeholder engagement and capacity building

• Engage with government departments, urban local bodies, research institutions, technology providers and development partners to understand analytical needs, obtain data and validate research findings.
• Contribute to technical partnerships and assess proposed datasets, platforms and vendor deliverables against programme requirements.
• Conduct stakeholder consultations, platform demonstrations and training on GIS, remote sensing and geospatial tools. Gather feedback and support the adoption of analytical outputs in planning and decision-making.
• Build internal capacity through practical training, standard operating procedures and technical guidance for colleagues and interns. Represent CEEW in relevant technical and policy forums.

Support to research teams for geospatial datasets and analytics

• Work with research teams across CEEW to translate programme questions into clearly defined geospatial data requirements, analytical tasks and outputs, agreeing on scope, methods and delivery timelines.
• Identify, acquire, clean and harmonise suitable geospatial datasets from open sources, government agencies, research partners and other providers. Assess spatial coverage, resolution, completeness and fitness for the intended use.
• Provide tailored spatial analyses, including overlays, buffers, zonal statistics, hotspot mapping, change detection, network analysis and exposure assessment, to support research across climate resilience, clean air, mobility, water, agriculture and energy.
• Prepare analysis-ready datasets, maps, indicators and visualisations at the geographic scale required by each study. Support teams in interpreting results and incorporating them accurately into reports, policy briefs and presentations.
• Maintain a shared catalogue of reusable datasets and analytical workflows with source information, metadata, update schedules and usage limitations to reduce duplication across projects.
• Review geospatial methods and outputs developed by research teams or external partners, troubleshoot analytical issues, and advise on data gaps, validation needs and appropriate interpretation of findings.

Selection Criteria
Qualification and experience

• A master’s degree in geoinformatics, geomatics, remote sensing and GIS, geography, environmental science, urban or transport planning, engineering, data science, or a related discipline, with substantial applied geospatial work. A relevant PhD is desirable.
• A minimum of four years of relevant experience in geospatial analytics, remote sensing or applied spatial research, with evidence of independently delivering analytical workstreams and usable outputs.