Assistant Professor in Cartography and Geovisualization
Title:  Assistant Professor in Cartography and Geovisualization
Source:  Faculty opportunities
Category:  Other Special Topics
Employer:  Syracuse University
Deadline:  10/15/2022 12:00:00 AM
Post Date:  9/1/2022 12:00:00 AM
Location:  Syracuse, NY
Contact:  For inquiries, please contact Professor Karl Offen, Search Committee Chair (khoffen@syr.edu); or Professor Peng Gao, Department Chair (pegao@syr.edu).
Describe:  Please see below for a new TT position with the Department of Geography and the Environment at Syracuse University. https://www.sujobopps.com/postings/94616 NEW YORK, SYRACUSE The Department of Geography and the Environment, the Maxwell School of Citizenship and Public Affairs, Syracuse University invites applications for a tenure track position in the area of Cartography and Geovisualization at the rank of Assistant or Associate Professor. Ph.D. is required at time of appointment. We seek a geographer whose scholarship focuses on conceptual, critical, empirical, experimental, and/or theoretical work in cartography. This includes scholars whose research and teaching contributes to any of the following areas: Cartography in the digital era, including geovisualization of big data, drone data, and sensor data, geoanalytics, autonomous systems/geoAI, and web mapping Map design, geoliteracy, cartographic education, and the science of communication Indigenous cartographies, feminist visualization, critical cartography, critical GIS, and the politics of maps and mapping Community mapping, counter mapping, participatory mapping, and participatory GIS Cartographic theory History of cartography and historical GIS GeoHumanities and cartography as art Public health, hazards, vulnerability, and crisis mapping Candidates should demonstrate clear evidence of a strong research program and successful teaching experience as well as a demonstrated commitment to promoting diversity, equity, and inclusion. We are particularly interested in hiring a cartographer who is both trained in and able to teach traditional cartography and cartography in the digital era, including web mapping, geo-visualization of big data, drone data, and sensor data. Programming experience (e.g., Python) and work with large datasets is an advantage. In addition to a primary focus in cartography and geospatial technologies, the successful candidate will make significant contributions to one of our department's other research and teaching clusters.