Applied Statistics, Data analysis/processing, Forecasting/modeling
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 large 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. In the coming years, the Eviction Lab will begin several new initiatives, including a Joint Statistical Project with the U.S. Census, involving the merging of over 80 million eviction records with several administrative databases and an analysis of the restricted-use file of the American Housing Survey (2017), which will entail the first estimation of informal evictions in national perspective. We seek selfdriven, 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/16121 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. Materials submitted by regular mail or email will not be accepted. This position is subject to Princeton University's background check policy.
Ph.D and a background in statistics, data science, economics, quantitative social science, and/or computer science. This is a one year term position with the possibility of renewal for a second year based on funding and satisfactory performance. The position is expected to begin during the Fall 2020 semester. This position is subject to the University's background check policy.
About Princeton University
Princeton University's Eviction Lab is a team of researchers, students, and website architects who believe that a stable, affordable home is central to human flourishing and economic mobility. Accordingly, understanding the sudden, traumatic loss of home through eviction is foundational to understanding poverty in America.
Today, the majority of poor renting families in America spend over half of their income on housing costs, and eviction is transforming their lives. Yet little is known about the prevalence, causes, and consequences of housing insecurity.
Drawing on tens of millions of records, the Eviction Lab has published the first ever dataset of evictions in America, going back to 2000. We hope you’ll join us in using the tools of the website to discover new facts about how eviction is shaping your community, raising awareness and working toward new solutions.
Join us at EvictionLab.org, and connect with us on Facebook, Instagram (@evictionlab), and Twitter (@evictionlab).