Are you interested in expanding your research to new and interesting domains? Are you doing research that could benefit the Bureau of Labor Statistics (BLS)? If so, we encourage you to apply to our Research Fellow Program!
The program's main objective is to facilitate collaboration between academic scholars and government researchers in fields such survey methodology, statistics, economics, data science, and social/behavioral sciences. Research Fellows are provided unique opportunities to expand their work to address some of the difficult methodological problems and analytic challenges BLS faces. Fellows are funded to conduct research remotely at their home institution, use BLS data and facilities, and work closely with BLS staff.
BLS offers two research fellow opportunities. One will focus broadly on statistical, economic, or behavioral science research, and the other addressing topics in data science.
More information is available on our website at http://www.bls.gov/osmr/asa_nsf_bls_fellowship_info.htm. Proposals are due January 9, 2023, with final decisions anticipated in mid-April.
Fellowship applicants should have a recognized research record and considerable expertise in their area of proposed research. Applicants must submit a detailed research proposal, which will be evaluated on the applicability of the research to BLS programs, the value of the proposed research to science, and the quality of the applicant's research record. Applicants do not need to be U.S. Citizens, but they must be employed by a U.S. institution of higher learning or a non-profit institution (IRS code 501(c)(3) entity) and are expected to retain their position for the duration of the fellowship. U.S. Government employees are not eligible.
We encourage interested researchers to contact us before submitting a proposal, so we can provide assistance in tailoring the proposed topic to best utilize your skills and interests in addressing BLS issues.
The BLS coordinates our Research Fellow Program in cooperation with the American Statistical Association (http://www.amstat.org/) (ASA), under a grant from the National Science Foundation (http://www.nsf.gov/) (NSF).
Please contact Josh Langeland (Langeland.joshua@bls.gov) if you have any questions and please feel free to share this announcement with any colleagues who may have interest in the Fellowship Program.
Josh Langeland, PhD
Research Mathematical Statistician
Office of Survey Methods Research
US Bureau of Labor Statistics
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Douglas Williams
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