Research Intern

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

Intern for Sustainable Mobility team

     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

Intern

Teams/ Focus area

Sustainable
Mobility team

Location

New Delhi, India

Reporting
to

Programme Associate in the
Sustainable Mobility team

Purpose

CEEW seeks to hire an intern with exceptional data analysis and
programming skills to join the Sustainable Mobility team. The role will be
crucial to further raise the bar of CEEW’s research work by carrying out big
data analyses relevant to supporting just transition in the mobility sector.
The candidate will support CEEW’s work on researching key problems crippling
urban transport in Indian cities by developing cutting-edge, scalable solutions
and tools using machine learning (ML) and artificial intelligence (AI) for city
governments and the larger public. The candidate will get exposure to the inner
workings of one of India’s leading think tanks and
will have the opportunity to understand the stakeholders that play a key role
in the mobility space. The candidate will also provide support in making
techno-economic models to forecast fuel consumption by the transportation
sector.

The candidate must have experience in the application of tools using
excel, statistical modelling tools, ML/AI (eg. MATLAB, Python etc. ), and
visualising spatial data using Geographic Information Systems (e.g., ArcGIS,
QGIS). S/he should be familiar with geospatial libraries such as GDAL and
rasterio.

The candidate should demonstrate the ability
to work across teams and manage multiple priorities and should be
detail-oriented and committed to adhering to timelines. 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

●        Conduct analyses involving combination of multiple
complex data layers, network analysis and detailed visualisation of the
outputs. These data layers will include information on public transit,
socio-economics of population, people movement, road-safety, pollution,
congestion, land-use, and survey data.

●        Support team in mobility planning, especially
determining the geographic specific demand for buses and IPT (intermediate
public transport) networks using alternative data sources and analysis.

●        Support developing predictive models/tools using ML and
AI and thereby exposure to creating training datasets and deep learning models.

●        Assist the team in generating snackable insights and
compelling data visuals for the organisation’s social media platforms.

Selection Criteria

Qualification

●        Bachelor’s/Master’s degree, with AI/ML

●        Experience and expertise in creating techno-economic
models using excel and other statistical software packages.

●        Relevant experience in programming languages, such as
Python, SQL, R, and/or others (e.g. application of programming languages for
academic projects, internships, personal projects).

Work
experience

●      0–2 years of experience

Key
skills

●      High proficiency in Python programming

●      Proficiency in SQL programming

●      Competency in Computer visioning/ AI/ ML, basics
of QGIS/ ArcGIS

If you are
passionate about applying your programming skills to solve real-world mobility
problems, we would like to speak to you. If you can unravel the complexities of
big data into meaningful outcomes, then we would definitely consider hiring
you! If you can collaborate closely with others to make this happen, you are
probably the only candidate we are looking for!

CEEW operates in a dynamic
environment and the candidate must show flexibility in various tasks.

Compensation

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

Application Process

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

Applications will be reviewed on
a rolling basis. Interested applicants are advised to apply at the earliest
possible.

Only
shortlisted candidates will be notified by us. We appreciate your interest.