(This article was originally published at Statistical Modeling, Causal Inference, and Social Science, and syndicated at StatsBlogs.)
Here’s the ad:
The Center on Poverty and Social Policy at the Columbia University School of Social Work and the Columbia Population Research Center are seeking a postdoctoral scholar with a PhD in economics, statistics, public policy, demography, social work, sociology, or a related discipline, to lead the development of survey weights and missing data imputations for the New York City Longitudinal Study of Well-being and the Fragile Families and Child Wellbeing Study. The scholar will also help estimate empirical models, work with survey staff on missing data issues, and contribute to reports of research findings. The postdoc will work closely with professors Irwin Garfinkel (PI) and Andrew Gelman (co-Investigator), project director Christopher Wimer, and survey director Kathryn Neckerman. Additionally, the postdoc will collaborate with Andrew Gelman on designing methods for model-based analysis of complex surveys.
The ideal candidate will have a background in statistical methods for survey analysis — including both design- and model-based approaches — and have strong programming skills in R and familiarity with Stata. Previous experience with the statistical modeling language Stan is a plus but is not required.
You should apply, following the instructions here. This is the perfect job for someone who’s interested in survey research and wants to contribute to live projects, learn a lot, and participate in cutting-edge research.
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