Assistant Professor

position will establish and sustain an active, externally funded research program, teach effectively at the undergraduate and graduate levels, and provide service to the Department, the University, and the profession. Teaching responsibilities will include core introductory and advanced courses that support of the department's new B.S. Degree in Geospatial Data Science, as well as the development of new courses in GeoAI and machine/deep learning, high-performance geospatial computing, or others related to the candidate's area of expertise. The teaching load is three courses per year (2:1 schedule). Service responsibilities will include serving on MA and PhD committees, advising MA and PhD students, and actively participating in department colloquia and other programming/committees.