Assistant Professor in Quantitative Political Science

Position description

The Department of Political Science at the University of Notre Dame invites applications for a tenure-track appointment at the rank of Assistant Professor in Quantitative Political Science, beginning fall 2027. We seek a scholar with substantive expertise in American Politics, Comparative Politics, Political Economy, International Relations, or the intersection of these fields, who applies frontier methods of statistics and data science to substantive questions in their area of expertise. Strong candidates will have a research agenda that demonstrates innovative uses of quantitative methods - such as machine learning and AI, text-as-data, network analysis, causal inference, or large-scale data collection - to generate substantively important insights into core questions in political science, as opposed to a focus exclusively on methodological contributions. We are particularly interested in candidates whose teaching could complement or contribute to the graduate methods sequence in political science. Duties include teaching, research, and service.

This position is part of the University's Data, AI, and Computing (DAC) Initiative, a University-wide effort that "balances ground-breaking foundational advances in data, AI, and computing with transformative interdisciplinary applications targeting societal challenges," and the successful candidate will hold an affiliation with the Initiative. Teaching obligations will include undergraduate offerings in the Data Science minor and supplemental major in the College of Arts & Letters.

Qualifications

Candidates at the entry level must have completed all requirements for a Ph. D. degree or have completed all but dissertation in political science or a related field with degree expected by July 1, 2027. Candidates at the advanced assistant professor level must have a Ph. D. in political science or a related field.

Applications received by September 15, 2026 will receive full consideration.

Application instructions

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