To be considered for the position, you will need to provide all elements of the following as a single document with your application:
If the file is too large, put your document into .pdf format and use either Save as Other > Reduced Size PDF in Adobe, or an online pdf compression app.
A current cover letter describing:
Your interest in this position and how you learned about it
The start and end dates during which you would be available to fill this position
Your familiarity with programming languages (e.g. Stata, SAS, Matlab, ArcGIS)
Your prior experience as a research assistant, in the private sector, and/or with independent research projects
A previous experience that involved working in a team environment
Names, e-mail addresses, and phone numbers of 3 references (letters not required)
A Current CV:
All relevant undergraduate and graduate transcripts (unofficial is fine)
A written list of classes currently in-progress and taken in the past that are in economics, mathematics, or statistics. Please indicate the name of the course, semester/year taken, the institution at which the course was taken, and grade attained.
An original research paper (if available) or writing sample
To ensure we receive your full application, please also email Professor Kowalski [email protected] and current research assistant Griffin Shufeldt [email protected] a single PDF document named 'Lastname_Firstname' containing the materials.
The first-round interview consists of a data task exemplary of the work conducted by research assistants on our team.
Professor Amanda Kowalski is currently seeking candidates for a Research Area Associate in the Population Studies Center (PSC) in the Institute for Social Research. PSC unites an interdisciplinary community of scholars across sociology, economics, public health, biostatistics, and more with a strong training program for both pre- and post- doctoral scholars.
This position will collaborate closely with a research team on projects in the fields of health economics and applied econometrics and will contribute mainly on the project entitled Tradeoffs Between the Equal and Equitable Distribution of a Scarce Health Resource: Evidence from a Large Randomized Natural Experiment with Targeting by Health, Social Vulnerability, and Race,' a large interdisciplinary project joint with David Chan of Stanford and John Ayanian, Sarah Burgard, Sandro Cinti, James Henderson, Fiona Linn, Yanna Krupnikov, and Abram Wagner of the University of Michigan and Michigan Medicine.
For examples of previous research and related press coverage, see
