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GEOAI Researcher in Hydrologic and Ecosystem Science

As part of the cluster hire, the Department of Geography invites applications for a tenured or tenure-track faculty position at the rank of Assistant or Associate Professor specializing in Geospatial AI (GeoAI) applied to hydrological and ecosystem science. This position starts on August 1, 2022 and is an academic year appointment (9 months) with an opportunity to supplement salary during the summer. 

Applicants must have a Ph.D. degree in Geography, GIScience, Environmental or Earth Science, or a related field from an accredited institution. Please see the requirements for Assistant and Associate Professors in the Unit Criteria for Promotion and Tenure for the Department of Geography. To be eligible for tenure upon appointment, candidates must be appointed as an Associate Professor, have been tenured at a prior institution, and bring a demonstrably national reputation to the institution. Candidates must be approved for tenure upon appointment before hire.  

We seek a GeoAI researcher with a demonstrated ability to utilize GeoAI tools such as sensor networks, data mining, machine learning including deep learning, and high-performance computing, as well as strengths in big data visualization. In particular, we seek a researcher who can support the Environmental AI working group with transformative research that incorporates process-based models and deep learning models. The successful candidate is expected to develop and maintain a strong externally funded research program advancing novel modeling frameworks and techniques for working with heterogeneous geospatial data. The successful candidate is also expected to teach effectively at the undergraduate and graduate levels. 

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