The University of California Los Angeles (UCLA) and the United States Geological Survey (USGS) have partnered with the Bureau of Land Management (BLM) to use Remote Sensing as a Catalyst for Large-scale Conservation. The goal of the proposed research is to use a fusion of remote sensing and field data to understand habitat connectivity for several critical animal species on lands in the western United States.
The position will be based in the Department of Geography at UCLA. At the time of appointment, applicants must have a Ph.D. in geography, ecology, or a related discipline, and demonstrated proficiency in the spatiotemporal analysis of large remote sensing datasets across wide geographical areas to quantify ecosystem connectivity/fragmentation. Demonstrated proficiency in R, Matlab, IDL, Python, and/or equivalent is required. Demonstrated proficiency in the use of Machine Learning techniques is required, as is experience developing in Google Earth Engine. An interest in working with land management agency personnel to develop tools for visualization and management is desired. Interest in engaging in mentoring opportunities with graduate students is desirable. Fluency in written and spoken English is required. Salary commensurate with experience.
Applicants will need to submit:
Cover Letter describing research interests and accomplishments
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