Assistant Professor of Remote Sensing

Bozeman, Montana
Salary commensurate with experience, education, and qualifications
Jul 26, 2022
Sep 24, 2022
Organization Type

The Department of Land Resources and Environmental Sciences seeks a talented and enthusiastic individual who will:

(1) provide leadership in the acquisition, analysis, characterization and application of remotely sensed imagery at multiple scales;

(2) actively contribute to sustaining and enhancing the department’s research, teaching, and outreach programs related to remote sensing as applied to land resources and environmental sciences; and

(3) contribute to the MSU Spatial Sciences Center and its mission to advance academic research and instructional programs and to participate in campus-wide synergistic collaborations. This is an academic year (nine month) tenure-track faculty position at the Assistant Professor level. The appointment will be 45% Research, 45% Teaching, and 10% Service funded by the Montana Agricultural Experiment Station and the College of Agriculture.

Candidates should have outstanding research and teaching experience (or potential) and fundamental training in a relevant remote sensing and quantitative analysis field as applied to agricultural, environmental, or natural resource issues.

The successful candidate will complement existing departmental strengths, and be expected to develop a nationally competitive research program supported by extramural grant funds. Examples of potential research foci include ecosystem and landscape processes, environmental restoration, climate change, environmental biology, pest ecology and management, and sustainable and precision agricultural systems.

The successful candidate will be responsible for teaching undergraduate and graduate courses that emphasize remote sensing and quantitative analysis. The successful candidate will participate in high-quality graduate and undergraduate programs, including undergraduate curricular advising, undergraduate research advising, and training and mentoring of graduate students with expectation of recruiting and funding doctoral students as a priority.