Predoc will work directly with Edward Miguel on his portfolio of projects, which are contingent on funding. 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. Other key responsibilities include: providing research assistance to research projects and papers using empirical approaches; contributing to technical grant proposals, progress reports for current funding sources; and 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.

Responsibilities

Responsibilities are complex and require at least a college degree or equivalent. 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. 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.

The predoc has access to a $1,000 professional development fund to use throughout their appointment.

Required Qualifications

• Bachelor’s Degree or equivalent international degree or enrolled in a Bachelor’s Degree or equivalent international degree program.

Preferred Qualifications

• Bachelor’s Degree or equivalent international degree in Economics, Public Policy, Political Science, Business, or related discipline.
• 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.
• 1-2 years experience and competency with statistical software packages such as STATA, R, Python, Julia, and/or Matlab and ability to render accurate statistical analysis; as well as proficiency with LaTeX and Github.
• Familiarity with standard social science data sources, internet tools, and HTML.
• Familiarity working with large-scale datasets, e.g., through cloud or cluster computing.
• Ability to read and analyze published papers in economics, and accurately understand their main results.
• Ability to independently investigate solutions to technical and administrative problems.
• Outstanding written and oral communication skills, with the ability to translate complex scientific findings into accessible, non-technical language (via publications or professional presentations).
• Experience living and/or working in LMICs.
• Ability to work well with multi-national teams, and communicate effectively with colleagues and faculty.
• Additional language besides English (in particular, French, Hindi, Portuguese or Spanish).

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