Programme Associate- Sustainable Mobility

Council on Energy, Environment and Water; New Delhi; On-site; INR 1,500,000 - 1,800,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Council on Energy, Environment and Water seeks a Programme Associate to expand work on transport emissions and air quality across India, with a special focus on Delhi-NCR. The role involves handling data from ANPR, GPS, AQ sensors, and other datasets to assess EV mandates and low-emission zone planning.

You will engage with state and central authorities, develop policy-ready recommendations, and support stakeholder consultations to reduce transport emissions through data-driven decisions.

Qualifications

• Master’s degree in data sciences, transport planning, environmental engineering or related field.
• PhD in a relevant topic is desirable.
• 3–7 years of relevant experience or research in emissions and air quality.

Responsibilities

• Conduct data analysis across multiple layers and visualize outputs.
• Develop questionnaires and tools for GPS, ANPR and air quality data.
• Translate raw sensor and GPS data into actionable policy insights.
• Collaborate with government agencies and stakeholders to inform decisions.

Skills

Python

R

Research skills

Communication

Interpersonal skills

Education

Master’s degree in data sciences

Master’s degree in transport planning

Master’s degree in environmental engineering

Master’s degree in environmental science

Master’s degree in civil engg

PhD desirable

Job description

Council on Energy, Environment and Water

Programme Associate -Sustainable Mobility

Terms of Reference

At CEEW, we aredeliberate about what we stand for (and what we don’t stand for!) as anemployer. So, if the description below strikes a chord, we would love to hearfrom you!

At CEEW, we buildcareers in public policy

• We offer strong visionary leadership – withemphasis 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 otherorganisations
• 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

Reporting to:

Fellow, Sustainable Mobility Team

Location:

Delhi/Hybrid

Job Summary:

CEEW seeks to hirea resource to expand its work on understanding the interlinkages betweentransport-based emissions and air quality across India's geography, with aspecial focus on the Delhi-NCR region. The chosen candidate will work with themobility team to assess the impact of EV mandates, enhanced Transit supply, lowemission zone planning, super emitters, travel demand management and technologytransition measures and their impact on a city’s air quality, bothqualitatively and quantitatively. The candidate shall engage with state andcentral government agencies, work in tandem with their requirements, developclear policy recommendations and support stakeholder consultations to buildconsensus on regulations to reduce transport sector emissions.

Typically, it willrequire handling large datasets from ANPR, Surveys, Meteorological data, AQsensors based data, Android phone based GPS data, and other hyperspectral/optical datasets, VHR, LiDAR datasets, etc to build deeper, local solutions.

Job Duties and Accountabilities

Research Support

• Conductand supervise analyses involving a combination of multiple complex data layers,network analysis and detailed visualisation of the outputs, including but notlimited to data cleaning, pre- and post-processing.
• Tosupport the team in developing questionnaires, survey forms, and otherqualitative and quantitative tools specific to GPS, ANPR and air qualitysensor-related data parameters.
• Toextrapolate and verify data from sources like AVLs, ANPR cameras, GPSsmartphones and or AQ sensors to analyse, evaluate, organise, and edit the datainto comprehensive yet concise reports and other collateral.
• Conductan in-depth analysis of historical vehicle penetration across segments, fueltypes, and Bharat Stage (BS) compliance to establish a robust baseline foremissions modelling. This analysis should leverage data from the existing fuel-forecastingmodel (TFFM) to enable quick and efficient assessments.
• Quantifythe longitudinal impact of evolving emission standards on urban air sheds andGHG trajectories, oversee the deployment of high-precision sensors in the DelhiNCR area and monitor the data readings.
• Utiliseadvanced Source Apportionment and emission inventory techniques for specificcontribution of various vehicle segments to the total pollution load, Implementrigorous QA/QC protocols and automated calibration workflows to ensure dataintegrity for real-time pollutants, mathematical models to simulate complexexhaust and non-exhaust vehicular emissions.
• Establisha robust framework for translating raw sensor and GPS data into actionableinsights for policymakers with respect to transit planning, improvingaccessibility to IPT and mass transit, and developing low emission zones.
• Generate high-resolution spatial heat-maps ofNMT traffic flow at transport nodes, vehicular emissions wrt critical"choke points" in the urban transport infrastructure, road-dust,real-time visualisation platforms (Dashboards) for monitoring.

Collaboration and Liaison

• Inform and support the development of knowledgeproducts, tools, and research methodologies for public bus transport promotionwithin the team.
• Assist the team in generating snackable insights bycreating robust, statistically sound models that produce compelling datavisuals for the organisation’s social media platforms.
• Regularconsultation with officials, industry and other stakeholders to supportevidence-based decision-making.
• Managethe end-to-end lifecycle of field experiments and sensor maintenance contracts.
• To engage with relevant stakeholders, representthe organisation and attend conferences and pertinent sessions to sustainablemobility.

Programme Assistance

• Assist with specific projects and the overall plan ofactivities under public transport, electric vehicle transition, and othersustainable mobility research, bridging the teams' research.
• Assist in preparing presentations, fact sheets, andother research communication material, other impactful communication pieces todrive opinion and nudge behaviour.
• To generate knowledge content – blogs, articles, briefsin regular intervals.
• To develop and coordinate effectively with stakeholderson cross-cutting themes on air pollution, mass transit, EVs, public health, andtechnology transition.
• To actively find opportunities to present anddisseminate research to key constituencies, advisory bodies, conferences &research institutes.

CEEW operates in a dynamicenvironment and the candidate will be required to show flexibility inundertaking various tasks.

Shortlisting Criteria

Education and experience

• Minimum a Master’s degree in data sciences, transportplanning, environmental engineering, environmental science and civil engg orequivalent.
• PhD in relevant topic isdesirable.
• Prior experience in emissions assessment, air qualityanalysis, spatial data analysis, large data analysis, data visualisation, andcity-scale traffic and transport data analysis.
• 3-7 years of relevant experience or research on therelevant topic.

Key skills

• Experience carrying out data analysis onprogrammes such as Python, R is a prerequisite
• Must have strong research skills – the abilityto carry out a literature review is a key requisite; familiarity with researchmethods is desirable.
• Excellent communication and interpersonal skills
• Willingness to work on multi-disciplinary projects
• Good written and oral communication skills

Compensation

CEEW offercompetitive compensation, commensurate with experience and aligned with thebest industry standards and those of other similar organisations.

Application Process

CEEW is an equalopportunity employer, and the selection process does not discriminate on thebasis of age, gender, caste, ethnicity, religion, or sexuality. Femalecandidates are encouraged to apply.