Research Intern
1 week ago
Council on Energy, Environment and Water (CEEW), New Delhi
Research Intern - Sustainable Mobility
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 through 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 Intern
**Reporting to**
Programme Lead
**Focus Area**
Sustainable Mobility
**Location**
New Delhi, India
**Purpose**
The Sustainable Mobility team at CEEW is looking for a Data Collation Interns (2) to join our dynamic team, to carry out data collection and digitization activities on one (or more) national highways emanating from Delhi - but limited in expanse to the Extended National Capital Region. The team’s focus is aimed at proliferation of sustainable mobility for various vehicle segments - from 2 and 3-wheelers to cars, buses, and medium and heavy-duty trucks. This position involves collecting and storing data in a manner conducive to the team’s research, and in supporting research-related activities upon request.
The Intern will work on development and refinement of diverse datasets, primarily on traversable elements of highway-level (and some allied) rural and urban road networks and electric vehicle charging or conventional vehicle refuelling establishments which will aid the ongoing research activities within the team.
**Position Duties and Responsibilities**
**Data Collection**
**_Highway and Allied Network Information_**
- Clean, validate, export, and store the collected network information, complementing the data with additional sources of secondary and primary information, such as “points of interest in the vicinity of a road stretch”, or “nearest settlement order”, among others.
- Some other roads (such as state highways, major district roads, or arterial roads) that are not explicitly part of the NH44 may also require for their data to be collected.
- Share GPS trajectories of the paths traversed along the surveyed links.
- Identify and mark vehicle refuelling/ recharging stations present along the surveyed stretches.
**_Refuelling/ Recharging Stations’ Information_**
- Of the marked refuelling and/ or recharging establishments, survey key establishments to get observation data on vehicular in-/out-flows, dwell times, land use information, queue-processing modality, throughput capacities, modal splits of incoming vehicles, among others.
- Clean, validate, export, and store the collected establishment information in any tabular or georeferenced database.
**_Project Management Unit (PMU) Research, Technical and Engagement Support_**
- Additional tasks may be discussed with the intern and added to the above, if deemed necessary.
**Deliverable(s)**
- Data tables and georeferenced maps (on projected coordinate systems) of the all collected information.
- All scripts and virtual environments (with language and library version numbers/ Docker sets/ YAML or.env or.txt) used for data collection, scraping, preprocessing, and allied tasks.
**Selection Criteria**
**Qualification**
- Ongoing or completed bachelor’s degree in physical planning, civil engineering, transportation engineering/ planning, or allied disciplines.
**Key skills**
- Solid foundational understanding of common mobility-related surveys and data collection techniques, such as spot speed surveys, speed and delay surveys, turning movement counts, classified volume counts, in-situ annotations, and more.
- Knowledge in developing and managing first-order databases.
- Understanding of Python, PostGRES, SQL, STATA, SPSS, or R will be considered a plus.
- Proficient in QGIS or ArcGIS and skilled in visualizing complex datasets.
- Excellent communication and interpersonal skills.
- Willingness to work on multi-disciplinary projects.
- Ability to think on your feet and adapt to matters during data collection exercises.
**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
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