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University of North Carolina at Chapel Hill
verifiedVerified ListingAssistant Professor in GeoAI and Geospatial Data Science
location_onUNC Chapel Hill, North Carolina, United States (On-site)
schedulePosted 6 days ago
workFull time
bar_chartMid
Deep LearningGeoAIGeoscienceGeospatial Data ScienceHigh-Performance Geospatial ComputingMachine Learning
About the Role
The Department of Geography and Environment at the University of North Carolina at Chapel Hill invites applications for a full-time, nine-month tenure track faculty position at the rank of Assistant Professor specializing in Geospatial Artificial Intelligence (GeoAI) and Geospatial Data Science, with an anticipated start date of July 1, 2027.
The position will establish and sustain an active, externally funded research program, teach at undergraduate and graduate levels, and provide service. Teaching includes core introductory and advanced courses supporting the department's new B.S. Degree in Geospatial Data Science and development of new courses in GeoAI and machine/deep learning, high-performance geospatial computing, or related areas. Teaching load is three courses per year (2:1).
We seek a candidate who develops and applies cutting-edge geospatial computational methods (e.g., machine/deep learning, big data infrastructure and computing) in an applied domain such as urban geography, human-environment interactions, health and medical geography, weather and climate change, or critical geographies.
Minimum requirement: PhD in Geography or a related field by the time of appointment.
Preferred: demonstrated excellence or potential in research, teaching and mentoring; ability to secure external funding; interdisciplinary collaboration.
Applicants must provide a cover letter, CV, research statement, teaching statement, mentoring statement and four references. Review begins December 1, 2026. Vacancy ID FAC0006169. Inquiries: Dr. Paul Delamater ([email protected]).
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University of North Carolina at Chapel Hill
Leading-edge innovations and technical excellence in the geospatial domain.
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