Assistant Professor — GeoAI & Spatial Statistics

AAG

Honolulu (HI)

On-site

USD 110,000 - 150,000

Full time

3 days ago
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Job summary

The University of Hawai'i at Manoa invites applications for an Assistant Professor in Spatial Statistics and Geospatial Artificial Intelligence (GeoAI) in the Department of Geography and Environment. This tenure-track, 9-month appointment begins August 1, 2027.

We seek a scholar advancing spatial statistics, statistical learning, and AI for geographic processes and environmental and social challenges. The successful candidate will teach undergrad and grad courses, supervise students, develop an

Qualifications

  • Ph.D. in Geography, GIS, Statistics, or related field; must be conferred before hire date.
  • Expertise in spatial statistics or spatial modeling and data science/ML/AI applied to geospatial data.
  • Ability to teach undergraduate and graduate courses and to teach ML/AI methods to social science students.
  • Proficiency in Python and/or R for data analysis and reproducible workflows.

Responsibilities

  • Teach undergraduate and graduate courses in Spatial Statistics and related quantitative-methods topics.
  • Supervise and mentor MA and PhD students; support undergraduate research.
  • Develop an active research program and publish in peer-reviewed venues.
  • Seek extramural funding and support student training.
  • Provide service to the department, college, university, and community.

Skills

Spatial statistics
Spatial modeling
Data science
Machine learning
Artificial intelligence

Education

Ph.D. in Geography or Statistics

Tools

Python
R

Job description

The University of Hawai'i at Manoa invites applications for an Assistant Professor in Spatial Statistics and Geospatial Artificial Intelligence (GeoAI) in the Department of Geography and Environment. This tenure-track, 9-month appointment begins August 1, 2027.

We seek a scholar advancing spatial statistics, statistical learning, and AI for geographic processes and environmental and social challenges. The successful candidate will teach undergrad and grad courses, supervise students, develop an

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