Assistant or Associate Professor in Data Analytics and Public Policy - UNC Charlotte - Charlotte, NC

We seek candidates whose research applies data science methodology and advanced quantitative methods to the study of public policy. The area of research specialty is open, but we will give preference to candidates with interest in collaborating with faculty in a newly developing security and justice policy research cluster, broadly defined. Candidates should have a record of research that utilizes advanced quantitative methods (e.g. causal inference, time series analysis, hierarchical modeling, simulations) and data science skills (e.g. data visualization, machine learning, computational modeling, natural language processing, network science) and be prepared to teach in graduate courses in these areas. Required qualifications include the following: (1) a Ph.D. in Public Policy or a closely related social science or data science discipline; (2) a strong record, appropriate to rank, of high quality peer-reviewed publications related to public policy; (3) a program of research likely to generate publications and extramural funding; (4) teaching experience, appropriate to rank; and (5) a commitment to promoting diversity and inclusion as values in the program and college. Candidates at the Associate level should possess credentials and experience appropriate for a tenured associate professorship at UNC Charlotte. A track record of extramural funding is required for candidates at the associate professor rank. Applicants must submit a statement on diversity and inclusion and finalists will be asked during their screening interview how diversity and inclusion are incorporated into their teaching, service, and research. Minimum Qualifications: Position Number: 004161 Posting Date: 11/05/2018 Closing Date: American Recovery & Reinvestment Act Funded:

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