"Pre-Doctoral Research Assistant"

Pre-Doctoral Research Assistant

Location: The candidate would perform the work on campus, and a hybrid work arrangement would be considered only under exceptional circumstances.

Open Date: 2026-02-06

Deadline: Mar 09, 2026 at 11:59 PM Eastern Time

Description: The Pulte Institute for Global Development is hiring a pre-doctoral Research Assistant to support Professor Isaac Mbiti. The RA will work on research projects focused on human capital development and labor markets in low- and middle-income countries. Recent projects have focused on Ghana, India, Kenya, Tanzania, and Zambia. The RA will be involved in all aspects of the research process, including: data sourcing, grant applications, fieldwork, data analysis, manuscript preparation, research team management, presentation of results, generation of replication materials, and dissemination of results to academic and policy audiences through workshops and conferences. The RA will also be able to participate in mentorship and skills development activities, as well as the weekly development economics workshop. RAs can also enroll in one class each semester for credit.

This position is a 2-year appointment at the University of Notre Dame. Start date is flexible, but candidates should start no later than August 1st, 2026. Pre-docs are supported by a positive work environment and a robust team of fellow researchers, including other pre-docs, post-docs, and faculty within the Pulte Institute.

Qualifications:

Required Qualifications:

• a completed 4-year undergrad degree (bachelor's or foreign equivalent) in economics,
• statistics, applied mathematics, or related field
• a strong quantitative background, including proficiency with experimental and quasi-experimental econometric methods
• strong writing skills (evidenced by a writing sample)
• independent problem-solving skills
• ability to manage multiple projects simultaneously and be highly organized
• experience programming in Stata (preferred) and/or R;

Preferred Qualifications

• Master's degree in a related field
• Experience/Familiarity with GIS
• Experience/Familiarity with IRT
• Experience/Familiarity with Latex
• Experience working with complex datasets
• Experience with fieldwork

To apply, visit https://apply.interfolio.com/181269