Pre-Doctoral Research Assistant — Gender & Labor Economics

CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS (CEMFI); España; On-site; EUR 10,000 - 13,000; Part time

Job summary

CEMFI invites applications for a part-time Research Assistant (Pre-Doc) position to support a joint project on gender inequality, social norms, and labour-market outcomes. The role is based at CEMFI in Madrid and involves working with Dutch administrative microdata in a secure remote-access environment.

The project is funded by Spanish and international research grants. The candidate will engage in empirical analysis using reduced-form quasi-experimental designs and literature reviews, with

Qualifications

• Bachelor or Master degree in economics or related fields.
• Knowledge of R and Stata.
• Excellent management and organizational skills.
• Meticulous, organized, and detail-oriented.
• Flexible, self-motivating, independent, and able to manage multiple tasks efficiently.
• Proficient in English. Knowledge of Spanish is not required.
• Strong interest in academic research.
• Previous experience as a research assistant will be valued.
• Able to legally work in the European Union.

Responsibilities

• Construction and analysis of large administrative microdata (Dutch CBS, in CBS remote-access environment).
• Reduced-form quasi-experimental analysis (event studies, difference-in-differences, IV, RDD; matched employer–employee / AKM methods where relevant).
• Empirical work on gender, social norms, and labour-market outcomes.
• Conduct literature reviews and assist the PIs in other aspects of the project.

Skills

R

Stata

Education

Bachelor or Master degree in economics or related fields

Job description

CEMFI invites applications for a part-time Research Assistant (Pre-Doc) position to support a joint project on gender inequality, social norms, and labour-market outcomes. The role is based at CEMFI in Madrid and involves working with Dutch administrative microdata in a secure remote-access environment.

The project is funded by Spanish and international research grants. The candidate will engage in empirical analysis using reduced-form quasi-experimental designs and literature reviews, with