With Assistant Professor Johann Gagnon-Bartsch
University of Michigan, Department of Statistics
A postdoctoral position is available in the Department of Statistics at the University of Michigan working with Johann Gagnon-Bartsch (Department of Statistics, University of Michigan), Fred Conrad (Program in Survey and Data Science, University of Michigan), and Michael Schober (Department of Psychology, The New School). The postdoctoral researcher will join a collaborative project team, including researchers at the US Census Bureau, developing methods to analyze social media data to learn about public opinion on a range of topics. The research will investigate how insights gained from social media data align with, complement, and / or diverge from those gained through more traditional approaches such as designed sample surveys and small focus groups.
A PhD in statistics or other relevant discipline is required. Familiarity with methods for topic modeling, clustering, data integration, survey design, and small area estimation are all helpful, but not required. The position is anticipated to start Fall 2021 and last two years; alternative time frames may be considered. Importantly, note that the funding for this position has not yet been confirmed, but is expected. Please direct questions to Johann Gagnon-Bartsch (email@example.com). To apply, send a CV, cover letter, and contact information for three references. Review of applications will continue until the position is filled.
To encourage additional collaboration and networking opportunities, this position is also being offered through the Michigan Data Science Fellows Program. Application to the MIDAS Fellows program is in addition to (not in place of) the application described above. Application to the MIDAS Fellows program is highly encouraged.
The University of Michigan is an equal opportunity/affirmative action employer. We welcome applications from members of all groups traditionally underrepresented in STEM.