Programme Associate GeoAnalytics

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.
• ·Demonstrated application of geospatial methods to one
• or more of climate risk, environmental monitoring, air quality, sustainable
• mobility, urban planning, agriculture or water. The ability to work across
• disciplines is essential.
• ·Experience working with government, research
• institutions, development organisations or technology partners, and translating
• technical findings into planning or policy recommendations, is desirable.
• Essential skills
• ·Strong practical proficiency in Google Earth Engine,
• Python and at least one desktop GIS platform such as QGIS or ArcGIS. Ability to
• process large raster and vector datasets and automate repeatable analyses.
• ·Sound understanding of coordinate systems, spatial
• resolution, resampling, raster and vector operations, satellite-image
• preprocessing, time-series analysis and classification accuracy assessment.
• ·Hands-on experience with geospatial Python libraries
• and statistical or machine-learning tools, such as GeoPandas, Rasterio, GDAL, xarray
• and scikit-learn, or equivalent libraries suited to the task.
• ·Ability to design defensible validation, assess data
• quality and uncertainty, and explain the limitations of spatial models.
• Familiarity with open datasets such as Landsat, Sentinel, OpenStreetMap and
• building or population products.
• ·Ability to write clear technical documentation and
• policy-facing outputs, produce accurate maps, and communicate complex findings
• to non-technical audiences.
• ·Strong project organisation, collaborative working and
• problem-solving skills, with the ability to manage concurrent assignments and
• maintain research quality under deadlines.
• CEEW offers an intellectually challenging work environment focused
• on research rigour, innovative thinking and strategic outreach. The candidate
• should be willing to undertake field visits and respond flexibly to evolving
• programme needs.

Compensation

• Competitive compensation, commensurate with experience and
• matching the best standards adopted by the industry or similar organisations
• for comparable roles.

Application Process

• CEEW is an equal-opportunity employer, and the selection process
• does not discriminate based on age, gender, sexuality, ethnicity, religion or
• caste. Female candidates and those from marginalised backgrounds are encouraged
• to apply.
• Applications will be reviewed on a rolling basis. Interested
• applicants should submit their CV and a relevant writing sample or technical
• portfolio through CEEW’s careers portal. Portfolio examples may include
• geospatial analyses, documented code, maps, dashboards or published research,
• with the applicant’s contribution clearly identified.
• Only shortlisted candidates will be notified. Selection will
• include a technical or written assessment and interviews. We appreciate your
• interest.