Assistant Professor of Quantitative Social Science

Expertise in advanced statistical modeling, computational methods, and game theory forms the backbone of success in this role. A strong grasp of interdisciplinary social science applications, including economics and political science, enhances research credibility and teaching effectiveness.

Starting as an assistant professor, progression typically involves developing a robust research portfolio, securing tenure, and contributing to cross-disciplinary initiatives. Leadership in curriculum innovation and mentorship often shapes long-term academic advancement.

Salaries for tenure-track assistant professors in quantitative social science at institutions like Dartmouth College in Lebanon, NH, usually range between $70,000 and $95,000 annually, depending on experience, funding, and departmental resources.

Candidates with a Ph.D. in economics, applied mathematics, statistics, or related disciplines demonstrating strong quantitative and interdisciplinary research skills are typically preferred. ABD status with degree completion by start date is sometimes acceptable.

Lebanon, NH sees a moderate to high demand for quantitative social science academics given Dartmouth College’s prominence. Competition intensifies due to limited tenure-track openings and candidates’ strong methodological expertise.

The AEA fosters a rigorous academic environment emphasizing economics research excellence and interdisciplinary collaboration. Faculty benefit from extensive professional networks and resources tailored to advancing quantitative social science scholarship.

The role involves not only teaching and research but also actively developing the QSS program curriculum. There’s a distinct focus on mentoring diverse students and fostering cross-disciplinary cooperation across social science departments.

Lebanon offers a small-town atmosphere with a close-knit academic community. While public transit is limited, many rely on personal vehicles for commuting. The work culture emphasizes collaboration, inclusivity, and a strong commitment to educational excellence.

Yes, interdisciplinary research is strongly encouraged, especially within quantitative social science roles. Collaboration across economics, sociology, political science, and related fields enriches research outcomes and aligns with institutional priorities.

Mentorship includes guiding undergraduates from diverse backgrounds in research design and quantitative methods, supporting their academic growth, and encouraging participation in interdisciplinary social science inquiries, consistent with AEA’s educational mission.