Post-Doctoral Associate Division of Social Science; Economics - Drs Pauline Corblet
Listed on 2025-12-01
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Education / Teaching
Postdoctoral Research Fellow, Data Scientist
Position Overview
We are inviting applications for a Post-doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in Economics focusing on Macro, Labor and/or Development Economics. The appointment is for 2 years and will begin September 1, 2026, subject to final budget approval and UAE visa acquisition by the prospective post-doctoral candidate.
ResearchResponsibilities
The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professor Pauline Corblet and Professor Samreen Malik. The collaborative research will be on labor and education economics with a particular focus on structural models tied with labor market surveys to study the role of beliefs in the labor market in both developed and developing economies.
QualificationsWe seek a candidate with expertise in both empirical and theoretical economics, with good coding skills. The role will involve designing surveys, working with existing datasets, and applying structural models relating to human capital development and labor markets. The position does not require teaching, but it may be possible to get teaching experience for compensation.
Application Materials- Cover letter
- Curriculum vitae with a full working paper and publication list
- Statement of research interests
- Job market paper
- Transcript
- Two letters of reference
All documents must be in PDF format.
Contact:
pauline.corblet or samreen.malik
.
- Generous relocation allowance
- Competitive salary
- Housing and transportation allowances
- Educational assistance for dependents
- Health and wellness services
UAE Nationals are encouraged to apply.
Equal Employment OpportunityNYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis.
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