Postdoctoral Associate To Work on Causal Inference Modeling for the Cash Transfer Lab (CTL) at New York University.
The postdoctoral associate will be a part of the Cash Transfer Lab at NYU. The lab's initial focus will be on a cash transfer that has been made annually to every Alaskan resident since 1982, the Permanent Fund Dividend. The amount of the transfer varies year-to-year and is arguably exogenous. The generic way to conceptualize this is as a continually treated population whose dosage varies independently from year to year. More generally, the lab seeks to better understand how to rigorously estimate causal effects of UBI programs worldwide.
CTL will adopt a hub and spoke model. The hub is an intellectual infrastructure that can support and lower the barrier to entry for research on substantive areas (the spokes). The primary job of the postdoctoral associate is to build this causal inference modeling infrastructure.
You will report to Dr. Sarah K. Cowan, CTL Founder and Executive Director and Assistant Professor of Sociology at NYU and Dr. Jennifer Hill, Professor of Applied Statistics and Data Science at NYU.
Responsibilities may include, but are not limited to:
Writing a peer reviewed journal article on approaches to this case
Developing new approaches to identifying causal effects
Writing code/packages to implement developed approaches
Advising applied research teams on their approaches
This position will begin as early as May 15, 2021. It will be remote at least until September 1, 2021. After that point, we will be flexible with regard to whether the position is remote, in-person or hybrid based on the state of the pandemic as well as individual needs.
A Ph.D. in any one of the following fields: Statistics, Applied Statistics, Biostatistics, Economics, Political Science, Sociology, Demography, Public Health or a closely related discipline. Ph.D. must be completed by September 2021.
To apply for this position, please submit a CV, two writing samples that are either sole-authored or you took the lead on analysis and associated code. Please also provide the names and contact information for three references to whom we will reach out for finalists. We are not asking for a cover letter or research statement. Finalists will also be given a short assignment and be invited to interview. Review of applications will begin on March 29th.
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