Research Associate , DP-WEE Project

Type: Full-time

Location: New Delhi

Duration: 6 months, starting as soon as possible. Renewable for another 6 months, conditional on performance and funding availability.

Salary: Commensurate with qualifications and experience

Reporting to: Prof. Farzana Afridi (Indian Statistical Institute, Delhi) & Dr. Sugat Chaturvedi (Ahmedabad University)

About LEAD at Krea University:

LEAD is an action-oriented research centre of IFMR Society (a not-for-profit society registered under the Societies Act), leverages the power of research, innovation and co-creation to solve complex and pressing challenges in development. LEAD specialises in developing in-depth granular understanding of socio-economic contexts and harnessing actionable insights that have a wide range of applications in industry, policy, and academia. LEAD is a collaborative hub that brings experts from diverse disciplines and sectors together to develop innovative solutions by harnessing innovation, technology and analytics.

About the Project:

Digital Platforms and Women s Economic Empowerment (What matters and what works) is an action-oriented research initiative led by Prof. Farzana Afridi (Indian Statistical Institute ISI, Delhi). The projects seek to harness digital technology to address multiple constraints on female labour force participation and improve women s labour market outcomes. Supported by BMGF (Bill & Melinda Gates Foundation), the project is housed at CECFEE (Centre for Research on the Economics of Climate, Food, Energy and Environment), Indian Statistical Institute (ISI), Delhi Centre and IFMR (Institute for Financial Management and Research).

About the Position:

The Research Associate will work on one or more projects in labour economics, handling large administrative datasets and secondary surveys such as the PLFS, CMIE-CPHS, and ASI.

This position is ideal for candidates seeking research experience in economics and who are considering graduate studies in the field.

Key Responsibilities:

• Data cleaning and econometric analyses
• Creating analysis tables in LaTeX
• Conducting literature review

Key Qualifications and Requirements:

• MA in Economics. Outstanding bachelor s degree holders may also be considered.
• Strong motivation to learn and carry out econometric analyses.
• Proficiency in Stata and LaTeX. Knowledge of Python is a plus.
• Familiarity with machine learning and natural language processing is desirable.
• Excellent analytical and communication skills.

Application Instructions:

Deadline: Applications will be open till the position is filled. To apply, please collate your resume, a cover letter and writing sample in a single PDF and apply in the form here . Female candidates are strongly encouraged to apply.

Note: Due to the large volume of applications we receive, we are unable to contact each candidate individually regarding the status of their application. Only shortlisted applicants will be contacted for interview purposes.