Support empirical analysis and administration for rigorous impact evaluations on topics related to environment and economic well-being in Sub-Saharan Africa and South Asia.

Responsibilities

• The Specialist will work directly with Kelsey Jack on multiple projects that combine administrative data, survey data, remotely sensed data and randomized interventions.
• They will perform data cleaning, data analysis and background research such as in depth literature reviews and evidence synthesis for technical and non-technical audiences.
• The predoc will also support research partnership development by cultivating strong relationships with organizations providing research support and data collection services, and may have the opportunity to travel to field sites.
• Provide research assistance to research projects and papers using empirical approaches. Contribute to technical grant proposals, progress reports for current funding sources.
• Other administrative tasks related to the projects, CEGA, and the Principal Investigator(s) (PI).
• Predocs may also support additional research and policy efforts relevant to the goals of the PIs and CEGA.
• In addition to working closely with faculty, candidates will have opportunities to participate in UC Berkeley’s vibrant academic life through attending seminars, attending classes, and interacting with students and other CEGA predocs.

Skillset

• Bachelor’s Degree or equivalent international degree.
• Strong interest in development economics, causal inference in applied microeconometrics, research design, program evaluation, cost-effectiveness analysis, and/or big data/remote sensing.
• 1-2 years experience conducting empirical research including contributing to data collection and cleaning activities.
• Candidates must also be familiar with advanced econometric analysis, as well as with programming using Stata, R, and/or Python. Knowledge of LaTeX and Github is also necessary.
• Predoc positions are ideal for graduating seniors or master’s degree students interested in pursuing a PhD in economics or related fields.

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