Assistant/Associate Teaching Professor in Geospatial Analytics

About the role

The Center for Geospatial Analytics (CGA) at North Carolina State University is a premier interdisciplinary hub dedicated to addressing grand challenges through spatial data science and geospatial analytics. Located in Raleigh, NC, CGA offers a vibrant research environment with access to state-of-the-art facilities, including the Geovisualization Lab, and offers academic programs such as a Ph.D. in Geospatial Analytics, Graduate Certificate in GIS, top‑ranked professional Master’s in Geospatial Information Science and Technology (MGIST), and an undergraduate minor in Geospatial Analytics. The Center fosters mentorship, collaboration, and practical application of theory to real‑world problems.

Responsibilities

• Teach 15–18 credit hours each academic year (Fall and Spring) across undergraduate‑ and graduate‑level courses.
• Teach an undergraduate‑ or graduate‑level introductory GIS course (3 credit hours).
• Teach the undergraduate Minor Capstone Course, Geospatial Analytics in Practice (1 credit hour; Fall and Spring).
• Teach two additional undergraduate courses, or a combination of undergraduate and graduate courses, based on program needs and the candidate’s interests (potential topics include Geospatial AI, Geospatial Ethics, AI and Data Literacy in GIS, Environmental/Public Health/Hydrological Applications, Geospatial Communication and Cartography).
• Participate in the Center’s academic community through student advising and mentoring, including serving as an academic advisor for a portion of MGIST students.
• Participate in committees in support of program‑level initiatives and outreach, as requested.

Qualifications

• PhD in GIS, Geospatial Science, Geospatial Analytics, Computational Geography, Remote Sensing, Planning, or a closely related field with demonstrated teaching experience at the university level.
• For consideration at the Associate Teaching Professor level: minimum of 5 years of geospatial/GIS‑related teaching experience at the undergraduate and/or graduate levels.
• Experience teaching at least one university‑level course in GIS or a closely related field.
• Proficiency in GIS technologies (ArcGIS Pro/Enterprise, ArcGIS Online, QGIS, etc.).
• Demonstrated experience working with geospatial data and analytical workflows.
• Familiarity with computational and/or scripting approaches used in GIS (e.g., Arcade, Python, R, SQL, JavaScript).
• Ability to design aligned course components, including learning objectives, assignments, and assessments that clearly support student learning outcomes.
• Familiarity with AI platforms used in instruction (e.g., Google Gemini, Notebook LM, ChatGPT) and geospatial‑specific AI tools (ArcGIS AI Assistants, QGIS AI, etc.).
• Ability to communicate complex geospatial concepts clearly to students and effectively collaborate with colleagues across the Center.

Skills

• Proficiency in GIS software (ArcGIS Pro/Enterprise, ArcGIS Online, QGIS, GRASS, etc.).
• Experience with scripting and programming languages (Python, R, SQL, JavaScript, Arcade).
• Familiarity with AI‑enhanced geospatial tools and platforms.
• Strong communication and mentoring abilities.
• Course development and curriculum design experience.

Benefits

• Medical, Dental, and Vision insurance.
• Flexible Spending Account.
• Retirement Programs.
• Disability