Stanford University, Immigration Policy Lab

Position ID:Stanford-IPL-POSTDOCIPL2 [#22998]
Position Title: Postdoctoral Research Fellow
Position Type:Postdoctoral
Position Location:Stanford, California 94305, United States [map] sort by distance
Subject Areas: Economics
Political Science / Public Policy
Statistics / Statistics
Data Science / data analytics
Econometrics
Appl Deadline: finished (2022/09/27, finished 2024/01/20)
Position Description:    

*** this position has been closed and new applications are no longer accepted. ***

Join the IPL team at Stanford as a Postdoctoral Research Fellow 

Interested in contributing to our mission of advancing immigration policy worldwide? Read on for more details about our new position. 

About the Lab 
Stanford University is seeking to appoint a Postdoctoral Research Fellow to join the Immigration Policy Lab (IPL). IPL conducts research that employs field and natural experimental methods to quantify the impacts of immigration and integration policies throughout the world. Using large datasets, creative research designs, and modern analytical tools, we bring new evidence to bear on the urgent problems practitioners face. By guiding the people who set public policy, as well as those who serve immigrant communities, our research can generate solutions and ultimately improve lives. IPL reorients academic training by placing postdocs in a hub of experiential research activity. Working side by side with faculty and professional staff, postdocs are fully immersed in an innovative research model that combines the efficiency and rigor of an academic lab with the energy and innovation of a civic-tech startup. 

Position 

We are looking for a postdoctoral fellow to join our team and collaborate on and develop projects related to immigration policy and programming. The principal job of the postdoc will be to design and implement immigration policy evaluations and conduct rigorous quantitative analyses using advanced methods of causal inference under the supervision of Professors Jens Hainmueller and David Laitin. She or he will be involved in all aspects of the research, but with a particular emphasis on identification, data acquisition, data analysis, and interpretation of results, and co-authoring academic publications. The fellow will join a highly collaborative team of researchers from IPL and top institutions to use cutting-edge statistical techniques to evaluate the effects of immigration policy.

IPL is a highly collaborative environment. The postdoc will have the opportunity to co-author papers envisioned to appear in top journals that report on the results of the studies, as well as work with an array of affiliated faculty from top institutions. While the majority of the postdoc’s time will be dedicated to collaborative lab projects, there is also an opportunity to develop related independent research. Examples of previous studies produced by the lab include projects on the intergenerational impact of DACA on the mental health of children (Science), and improving refugee integration through data-driven algorithmic assignment (Science). The initial appointment will be for one year (with potential to renew for a second year). Start date is flexible. Salary is standardized based on Stanford University guidelines. Benefits are provided. 

Qualifications 
The Postdoctoral Research Fellow will have completed a Ph.D., with a preference for political science, economics, sociology, statistics, or computer science. She or he should have a range of statistical and data skills including graduate-level knowledge of causal inference methods, data management, and data analysis. Experience managing large datasets and executing data analysis in complex environments is highly valued. Stanford University is an equal opportunity employer. It welcomes nominations of, and applications from, women and members of minority groups, as well as others who would bring additional dimensions to the university’s research missions. 

Application Requirements and Recommendations 
Applications should include a cover letter, CV, graduate school transcripts, a writing sample, and at least two letters of recommendation. Additional papers, and a diversity statement, may be requested at a later date. Applicants should be prepared to complete a research design and data analysis exercise as part of the interview process. 

IPL encourages applicants from diverse and underrepresented groups to apply. In particular, IPL encourages individuals from historically underrepresented racial and ethnic groups (Black or African Americans, Hispanics or Latinos, American Indians or Alaska Natives, Native Hawaiians and other Pacific Islanders, as described by the National Science Foundation), individuals with disabilities, and individuals from disadvantaged economic and educational backgrounds (low-income households and disadvantaged educational environments) to apply. 

 Applications will only be accepted through AcademicJobsOnline. Applications will be reviewed on a rolling basis, and we encourage applicants to apply as soon as possible. 

Applicants who have questions about the position may contact Elisa Cascardi at the Immigration Policy Lab at Stanford University, directly (cascardi@stanford.edu, Subject: Immigration Lab Postdoc 2022). 

* Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
immigrationlab.org
email address
 
417 Galvez Mall
Encina Hall West
Suite 100
Stanford, CA 94305