About the Role
**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.