Research Consultant

Council on
Energy, Environment and Water (CEEW), New Delhi

Research Consultant - Climate Resilience

Terms of reference

At CEEW, we are deliberate about
what we stand for (and what we don’t stand for!) as an employer. So, if the
below description strikes a chord, 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

Research
Consultant

Team/ Focus area

Climate
Resilience

Location

New Delhi, India

Reporting to

Research Analyst

Duration

6 months (extendable based on
deliverables and performance)

Purpose

CEEW is looking to hire a Research Consultant with skills
and knowledge in analysing long-term climatic data, an understanding of climate
science, climate modeling, data science, and GIS, to join the Climate
Resilience team. The role will focus on supporting projects that advance
India’s heat resilience.

The candidate will analyse large climate and geospatial
datasets, develop climate risk indices, particularly for extreme heat and
monsoon variability, and assist the team with tasks like data mining, data analysis,
and literature reviews. Applicants should have a background in climate
sciences, data science, GIS, atmospheric sciences, environmental science, or
related fields.

Key skills include experience with Python (especially
Xarray), GIS tools, Microsoft Office, and statistical tools. Knowledge of
machine learning and deep learning is a plus.

In addition to the duties and responsibilities below, the
individual should be prepared, as and when necessary, to take on additional
responsibilities.

Job duties and
accountabilities

Primary
responsibilities

Research and
analysis

●        Work on analysing
meteorological data, estimating climatic indices, and carrying out heat risk
assessments for advancing heat resilience.

●        Use programming
languages like Python (with libraries such as Pandas, NumPy, and Xarray), tools
like ArcGIS, QGIS, and Google Earth Engine, and platforms like GitHub to
analyze large climate and geospatial datasets and develop detailed climate risk
indices. 

●        Assist the team in
using CMIP5 and CMIP6 climate models to create local and regional climate
projections by applying techniques like downscaling, bias correction, and zonal
statistics. 

●        Conduct desktop
research and collect data from structured, semi-structured, and unstructured
sources to improve climate risk assessments. 

●        Work with GIS
datasets (e.g., NDVI, DEM, elevation, and hydrology networks) using QGIS,
ArcGIS, and Google Earth Engine, sourcing data from platforms like USGS and
ESRI. 

●        Create GIS
shapefiles for analysis and produce GIS-based maps to illustrate extreme events
and climate variability. 

●        Support the team by
reviewing literature and contributing to research writing on climate and
spatial analysis.

Other responsibilities

●        Help the team and
improve personal skills in strategic communication by writing blogs and opinion
pieces regularly. 

●        Respond to research
requests from senior researchers, discuss their needs, and prepare summaries
and analyses of information. 

●        Assist with program
tasks like creating presentations. 

●        Help plan and
organize events such as report launches, workshops, and discussions. 

●        Actively participate
in weekly team meetings. 

●        Provide suggestions
on research methods and data analysis tools. 

Selection
Criteria

Qualification

●        Preferably a
Master’s degree in data science, climate studies, atmospheric science, GIS,
environmental science, and other allied fields. Candidates pursuing their
degrees can also apply.

Work experience

●      0-1 year.

Key skills

●        Demonstrated work
experience in developing tools and dashboards based on GIS and spatial temporal
data.

●        Knowledge and
experience in climate sciences, atmospheric sciences, meteorology, and
geospatial technology. 

●        Skilled in handling
large climate and geospatial datasets in formats like NetCDF, raster, and
vector. 

●        Proficient in Python
programming, including tools like Jupyter Notebook and libraries such as
Xarray, Pandas, Geopandas, and NumPy. 

●        Strong understanding
of climate statistics and working with climate projections from global and
regional models, including techniques like downscaling and bias
correction. 

●        Experience using
Xarray in Python, along with tools like ArcGIS, QGIS, and Google Earth
Engine. 

●        Good knowledge of
statistical tools like Excel and SPSS and their applications. 

●        Proven ability to
design and carry out research in climate science. 

CEEW operates in a dynamic
environment and the candidate will be required to show flexibility in
undertaking a variety of tasks.

Compensation

Competitive compensation –
commensurate to the experience and matching the best of standards adopted by
the industry or other similar organisations for similar roles.

Application Process

CEEW is an equal-opportunity
employer and the selection process does not discriminate on the basis of age,
gender, caste, ethnicity, religion, or sexuality. Female candidates are
encouraged to apply.