The School of Geography and Development at the University of Arizona (geography.arizona.edu) seeks a tenure-eligible Assistant Professor in data science, spatial analysis, statistics and quantitative methods. The ideal candidate will advance the School’s research on pressing social, political, economic, and environmental issues. Successful applicants will have an active research program in data science and spatial analysis of complex data sets. We particularly seek individuals whose scholarship can contribute to the School’s program in Urban and Regional Development, which includes the study of cities and their environs. The candidate selected will enhance the School’s research and teaching capacities across a diverse range of topics and contribute to the Graduate Interdisciplinary Program in Statistics and Data Science. The position will provide opportunities to connect with research communities and resources across campus, including the Cyberinfrastructure for Data Management and Analysis Center (http://www.cyverse.org).
Duties & Responsibilities: The Assistant Professor will teach a mix of undergraduate and graduate courses in quantitative methods and in topical areas to support our programs in Urban and Regional Development and Geographic Information Systems and Technology. Instructional duties may involve a mix of in-person and online offerings. The appointee will also participate in the activities of the Graduate Interdisciplinary Program in Statistics. The distribution of effort will normally be 40% Research, 40% Teaching, and 20% Service.
Review of applications begins October 29, 2019.
Questions? Please contact Tom Evans, chair of search committee, at firstname.lastname@example.org
Minimum Qualifications: We seek a scholar with a strong research record and a promising agenda for future work. A Ph.D. in Geography or a related field is required by the time of appointment. Applicants in related fields should demonstrate that their research is sufficiently geographical to fit within a multi-faceted Geography department.
Preferred Qualifications: Experience teaching at the collegiate level