Research Intern- Energy Transitions
2 days ago
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 Intern
Reporting to
Programme Lead
Duration
3 to 6 months
Location
New Delhi
Purpose
CEEW uses large-scale micro datasets published by the National Sample Survey Organisation (NSSO) and other organisations to analyse and comment on the (in)equitable impact of climate transition in India on workers, firms, and households. Additionally, we frequently experiment with novel methodologies in causal inference and machine learning to synthesise these large datasets. We seek to hire a suitable candidate to assist in analysing and visualising these datasets. The candidate must be proficient in using Python and become comfortable with Large Language Models. The candidate will also be expected to critically analyse the policies and programmes related to climate, either directly or indirectly, and engage extensively with government, industry and civil society stakeholders at the national and state levels.
CEEW offers an intellectually challenging and conducive work environment, focusing on research rigour, innovative thinking, and strategic outreach. We are looking for an enthusiastic and detail-oriented individual who is passionate about empirical research and excited to put it into action.
Responsibilities and Accountabilities:
- Extract and process raw data from NSSO surveys across multiple themes and years. End-to-end ownership of data processing will be expected
- Collate (from literature), understand, and replicate robust methodologies for analysing contemporary issues in India.
- Maintain strong documentation of the procedures and learnings.
- Maintain clean and reproducible repositories.
- Help in internal dissemination and capacity building of teams in using large datasets.
- Contribute to high-quality first drafts of blogs, opinion pieces, policy memos, reports and papers for journal submission.
- Assist the team in disseminating research findings to a diverse set of stakeholders through bilateral briefings and high-quality research reports, papers, memos, opinion pieces, videos, etc.
Selection Criteria
Qualifications:
- Bachelor's or Master's degree in economics, statistics, or related disciplines.
- Strong research background with an adequate understanding of research methods and quantitative techniques for data analysis.
- Sound understanding of India's changing landscape of energy access, use and clean energy transition.
Key Skills
- Strong quantitative and qualitative research skills.
- Proficiency in Python and other programming languages for data analysis.
- Past experience in handling at least one of the NSSO surveys.
- Strong and effective written and verbal communication skills.
Personality
- Willingness to learn new research and project management skills.
- Striving for rigour in research and quality in work output.
- Ability to drive research with minimum assistance.
- Ability to dig into details while keeping the broader objectives and big picture in view.
- Ability to work across teams in an interdisciplinary and multicultural environment.
CEEW operates in a dynamic environment, and the candidate will be required to show flexibility in undertaking various tasks.
Compensation:
Competitive compensation – commensurate with the experience and matching the best of standards adopted by the industry or other similar organisations for similar roles.
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