Job Listings

Qualifications

Minimum requirements

• Completion of a bachelor's or master's degree by the start date in economics, computer science, statistics, applied mathematics, or a closely related field.
• Substantial coursework in economics and econometrics; significant exposure to quantitative methods is required.
• Demonstrated strong programming ability in Stata and/or R (through coursework, RA work, internships, or independent projects).
• Some familiarity with LaTeX for preparing research documents.
• Prior experience with empirical research using data (e.g., research assistantships, thesis, or independent research project).
• Strong quantitative skills, attention to detail, and ability to work independently as well as in a small research team.

Preferred additional skills

• Additional coursework in computer science, data science, or machine learning.
• Experience working with large and/or unstructured datasets (e.g., administrative, transaction-level, scraped, or geospatial data).
• Familiarity with at least one of: Python, SQL, Julia, or similar languages is a plus, but not required; experience with Git or other version-control systems is a plus.
• Interest in one or more of: empirical industrial organization, international trade, urban/housing/transportation economics, or related applied micro fields.
• A long-term interest in pursuing a PhD in economics, applied economics, or a related quantitative discipline.

Please submit the following materials via Interfolio: https://apply.interfolio.com/181447

1. Cover letter (1-page max)
2. Curriculum vitae (CV)
3. Academic transcript(s) (unofficial copies are acceptable at the initial stage).
4. Reference: Contact information for at least one academic or professional reference who can speak to your research and coding skills. Preferred referees include faculty who have supervised you as a research assistant or thesis advisor, as well as professional supervisors from data- or coding-intensive roles. Letters will be requested for shortlisted candidates.

Review of applications will begin in February 2026 and will continue until the position is filled.

Questions about the position may be directed to Professors Anaïs Galdin (anais.galdin@dartmouth.edu) and Felipe Barbieri (felipe.barbieri@dartmouth.edu).

The Tuck School of Business at Dartmouth invites applications for a full-time Pre-Doctoral Research Fellow to work on projects in industrial organization, international trade, and urban/spatial economics. The fellow will work with Professors Anaïs Galdin and Felipe Barbieri on empirical projects using large microdata to study firm behavior, market structure, and the spatial distribution of economic activity, with applications including global supply chains, digital platforms, and housing markets (see www.anaisgaldin.com and www.felipebarbieri.com).

This position is designed for individuals interested in pursuing a PhD in economics or a closely related field. It offers intensive training in empirical research using large and complex datasets and exposure to all stages of the research process. The fellow will have the opportunity to attend the research seminars of Dartmouth's Globalization cluster.

The fellow will:

• Clean, construct, and merge large micro datasets (administrative, transaction-level, geospatial, and web-scraped data) using Stata and/or R.
• Implement and maintain reproducible codebases, including clear documentation, version control, and replication packages.
• Conduct empirical analysis, including descriptive statistics, reduced-form econometrics, and, where appropriate, structural estimation.
• Produce data visualizations, tables, and figures for working papers, presentations, and reports.
• Conduct literature reviews and background research for ongoing and new projects.
• Contribute to drafting and editing research papers, memos, and presentations.

Appointment details

• Full-time, in-person position based at the Tuck School of Business in Hanover, New Hampshire.
• Preferred start date in summer 2026 (July or August 2026; exact date negotiable).
• The appointment is for one year with the possibility of an additional year's extension.
• Competitive salary and benefits through Dartmouth College. The salary for this position is $60,000.
• The position will be eligible for visa sponsorship, subject to Dartmouth policies and applicable U.S. law; international candidates are encouraged to apply.

Dartmouth is committed to academic excellence and encourages the open exchange of ideas within a culture of mutual respect. Dartmouth welcomes people with different backgrounds, life experiences, and perspectives and believes that diversity in all its forms enhances academic excellence.

Dartmouth College is an equal opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all.

Dartmouth is committed to accessibility for its community. If you are an applicant with a disability and would like to request a reasonable accommodation to aid in the job application and/or interview process, please email: ADA@Dartmouth.edu. In the subject line, please state application accommodations and include the job number or title. Someone from the ADA/504 Office will be in touch within 2 business days.

For additional employment opportunities at Dartmouth College, please visit the Dartmouth Interfolio Job Board, the Office of the Provost, and the Office of Human Resources.

Offers of employment are contingent upon consent to a pre-employment background check with results acceptable under Dartmouth policy. Please visit the Dartmouth policy portal for faculty handbooks and details of other Dartmouth policies.