The University of Chicago: Harris School of Public Policy Studies

Location: Chicago, IL

Description

The Harris School of Public Policy at the University of Chicago invites applications for tenure-track and tenured faculty positions in data analytics. The search is open with respect to rank and field, but we encourage applications from scholars with technical and applied interest in data-driven algorithms and policy. We are searching for those with particular machine learning skill sets, such as computer vision or natural language processing, or generalists whose focus is on statistical issues that arise in the use of predictive algorithms in policy settings. Ideal candidates have interest and experience in applications to complex data sets of social science interest. Applicants must expect to have completed a Ph.D. or equivalent terminal degree by July 30, 2020 in statistics, computer science, or a related discipline with strong training in core methods.  

To apply for this position, candidates must submit their application through the University of Chicago’s Interfolio academic job board at: apply.interfolio.com/68312. All candidates must submit a curriculum vitae and one writing sample with their application. Applicants for the level of assistant professor should also provide two letters of recommendation. Review of applications will begin on October 17, 2019. No applications will be accepted after May 15, 2020.