Postdoctoral Scholar: Empirical Policy & Development Econometrics

Berkeley International; Berkeley (CA); On-site; USD 65,000 - 75,000; Full time

Job summary

Institute for Business and Social Impact (IBSI) at UC Berkeley seeks a postdoctoral scholar to apply rigorous empirical analysis to policy-relevant questions in applied economics, development, labor, or mental health. The role emphasizes causal inference, large-scale data, and interdisciplinary collaboration.

The ideal candidate will use econometrics, experimental or quasi-experimental techniques, and machine learning for prediction and causal inference, bridging microeconomics with behavioral

Qualifications

• PhD in economics or related field, or currently enrolled in a PhD program at time of application.
• Strong foundations in empirical methods and causal inference; experience with large-scale data and R, Python or Stata.
• Interest in development, labor, mental health, or closely related policy-relevant topics.

Responsibilities

• Develop and conduct empirical research using modern econometric and quasi-experimental methods.
• Collaborate with UC Berkeley IBSI faculty and researchers; present work in seminars and workshops.
• Contribute to study design, data management, and dissemination of findings.

Skills

Causal inference

Econometrics

Experimental methods

Machine learning

Education

PhD or PhD student

Tools

R

Stata

Python

Job description

Institute for Business and Social Impact (IBSI) at UC Berkeley seeks a postdoctoral scholar to apply rigorous empirical analysis to policy-relevant questions in applied economics, development, labor, or mental health. The role emphasizes causal inference, large-scale data, and interdisciplinary collaboration.

The ideal candidate will use econometrics, experimental or quasi-experimental techniques, and machine learning for prediction and causal inference, bridging microeconomics with behavioral