Postdoctoral Research Fellow

The International Society for Bayesian Analysis; Ann Arbor (MI); On-site; USD 60,000 - 90,000; Full time

Job summary

An established industry player is seeking a Postdoctoral Research Fellow to advance methodological development in survey inference and missing data. This role offers the opportunity to work on cutting-edge Bayesian modeling techniques and engage in interdisciplinary collaborations. The ideal candidate will have a Ph.D. in statistics or a related field, with a strong foundation in Bayesian methods and high-dimensional data analysis. This position not only promises a year of impactful research but also the potential for extension based on performance. Join a diverse and dynamic team committed to excellence in research and social impact.

Qualifications

• Strong background in Bayesian modeling and computation.
• Experience in survey research and missing data preferred.

Responsibilities

• Conduct innovative methodological research on complex survey inference.
• Collaborate with interdisciplinary teams on statistical methodologies.

Skills

Bayesian modeling

Statistical analysis

High dimensional data

Survey research

Data privacy protection

Education

Ph.D. in Statistics

Ph.D. in Biostatistics

Ph.D. in a related field

Job description

The Survey Research Center in the Institute for Social Research at the University of Michigan is inviting applications for a Postdoctoral Research Fellow in statistics. The Fellow will work on innovative methodological development on complex survey inference and missing data, related to the following topics: (1) accounting for sample design features in Bayesian modeling of massive data, (2) nonresponse bias adjustment through weighting and imputation, and (iii) incorporating uncertainty and data privacy protection concerns in data integration and record linkage settings. The Fellow will be supervised by Yajuan Si, Research Assistant Professor in the Survey Methodology Program, in close collaboration with Drs. Michael Elliott, Roderick Little, Trivellore Raghunathan and Brady West.

The ideal candidate will hold a Ph.D. in statistics, biostatistics, or a related field and will have a strong background in Bayesian modeling and computation with high dimensional data. Previous experiences in survey research and missing data will be preferred but not required. The Fellow will be expected to participate in methodological research leading to publications in top statistical and applied journals, provided many opportunities of interdisciplinary collaborations. The initial appointment is for one year, with possibility of extension for up to two more years, dependent upon performance and funding.

Interested applicants will submit a letter of interest, CV, personal statement regarding applicant’s research agenda, sample of written work or a recent publication, and contact information for three references who can supply a letter of recommendation. All applicants must submit their applications on our online applications site, Interfolio, at apply.interfolio.com/73501. The review of applications will start immediately till the position is filled. Please direct questions or inquiries to [e-mail] . Reference #73501. Detailed description is available at https://careers.umich.edu/job_detail/184243/postdoctoral_research_fellow_in_survey_methodology_program .
The University of Michigan is an equal opportunity/affirmative action employer. The Institute for Social Research at the University of Michigan seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the university, and to ground our research in varied disciplines, perspectives, and ways of knowing and learning. Individuals from groups historically under-represented in the social sciences or related fields are strongly encouraged to apply.
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