Teaching Faculty in Remote Sensing and GeoAI

Teaching Faculty in Remote Sensing and Geospatial Artificial Intelligence (GeoAI) in Natural Resources - Utah State University Location: Logan, Utah (USU main campus) Position Type: Full-time, Benefited, Academic-Year (9 months), Non-Tenure-Track Titles: Lecturer or Professional Practice Assistant Professor Number of Openings: 2 Department: Environment & Society, Quinney College of Natural Resources Salary: Commensurate with experience and education, with excellent benefits The Department of Environment and Society at Utah State University invites applications for two term appointment faculty teaching positions to support a new program in Remote Sensing and Geospatial Artificial Intelligence (GeoAI). The department seeks faculty candidates skilled in applying innovative GeoAI methods such as machine and deep learning, multidimensional data analysis, and big data visualization to natural resource applications. Teaching areas may include: - Remote sensing - GeoAI applications in natural resources - Geospatial programming courses in Python - Ethics related to geospatial data and artificial intelligence - Google Earth Engine - Geovisualization techniques specific to remote sensing Responsibilities: - Course Instruction: Teach up to 18 credits annually (six 3-credit courses) emphasizing critical thinking and practical skill development across undergraduate and graduate levels, with delivery via online, in-person, or blended formats - Curriculum Development: Create courses utilizing effective methods while maintaining alignment with industry advancements and departmental goals - Professional Development: Maintain expertise in emerging technologies and pedagogical approaches - Student Mentoring: Provide guidance and foster an inclusive, supportive learning environment - Service: Participate in campus duties and professional involvement (5% emphasis) Minimum Requirements: - Master's degree or higher in geography or related quantitative field with geospatial science focus - Demonstrated expertise in remote sensing and geospatial AI - For Assistant Professor track: substantial professional experience outside academia Preferred Qualifications: - PhD in geography or related field - Prior innovative teaching experience - Interdisciplinary collaboration ability - Distance/online course delivery experience Skills: Remote sensing, GeoAI, machine learning, deep learning, Python, Google Earth Engine, geovisualization, GIS, spatial analysis