The Department of Sociology at Princeton University seeks applicants for a postdoctoral or more senior research associate in the Eviction Lab. Successful candidates will have a Ph.D., and a background in sociology, statistics, data science, economics, computer science, and/or quantitative social science. This is a one-year term position with the possibility of renewal for a second year based on funding and satisfactory performance.
The Eviction Lab at Princeton University is an interdisciplinary and multi-generational research team who has built the first-ever national database of evictions in America. We have validated, mapped, and published our data through an interactive website (evictionlab.org). The Eviction Lab is currently working on a number of studies on the prevalence, causes, and consequences of housing displacement. Postdoctoral researchers will have access to novel and very large datasets not publicly released. The Eviction Lab is engaged in multiple long-term initiatives, including a Joint Statistical Project with the U.S. Census, which has allowed linking over 80 million eviction records with administrative databases and restricted-use files of the American Housing Survey.
We seek self-driven, creative thinkers with strong quantitative skills to work with a team of researchers to analyze large administrative data sets and coauthor papers reporting findings on housing instability, urban inequality, and public policy. Successful candidates will be comfortable with management of large datasets and advanced statistical modeling or computer programming skills. Preference will be given to candidates who have demonstrated experience with causal methods for observational data, Bayesian hierarchical and spatial modeling, and/or machine learning. Previous experience working in a research team or lab is a plus. A working knowledge of the literature on housing instability and urban sociology is not required but useful; an intellectual interest in applying rigorous analysis techniques data to real-world problems is essential. Salary is competitive and is benefits eligible.
Applicants should submit a dossier online at https://www.princeton.edu/acad-positions/position/27222 including: (1) a complete vita, (2) a cover letter of interest, (3) names and contact information of up to three persons who can serve as references, (4) a writing sample that includes quantitative analysis. For full consideration, applications should arrive by October 4, 2022. Materials submitted by regular mail or email will not be accepted. This position is subject to Princeton University's background check policy.
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW