Assistant or Associate Professor in Remote Sensing Apply now Job no: 540144 Work type: Tenure-Track Faculty Location: Main Campus (Gainesville, FL) Categories: Biology/Life Science, Agricultural Sciences Department:60070000 - AG-AGRICUL - BIOLOGICAL ENG Classification Title: Ast/Aso Prof Classification Minimum Requirements: Candidates for this rank shall hold the highest degree appropriate to their field. A candidate
shall be expected to demonstrate successful experience pertinent to the position they are being recommended and have demonstrated qualities relevant to the goals of the academic unit in which they will be employed. Job Description: The Institute of Food and Agricultural Sciences is creating an environment that affirms community across all dimensions. If an accommodation due to a disability is needed to apply for this
position, please call 352-392-2477 or the Florida Relay System at 800-955-8771 (TDD) or visit Accessibility at UF . This is a 9 month tenure-accruing position that will be 30% teaching (College of Agricultural and Life Sciences), and 70% research (Florida Agricultural Experiment Station) in the Agricultural and Biological Engineering Department, Institute of Food and Agricultural Sciences, at the University of
Florida. This assignment may change in accordance with the needs of the unit. Duties will include: The faculty member in this position will develop active, successful, nationally recognized research and teaching programs in remote sensing technologies and techniques to detect, describe, predict threats impacting our agricultural and natural systems and evaluate mitigation strategies. The successful candidate will
develop theoretical/foundational algorithms in remote sensing and/or sensor development (hardware) utilizing a variety of sensors such as fluorescence, hyperspectral and multispectral optical sensing, LiDAR, and/or Global Navigation Satellite System (GNSS). The applications may include but not limited to satellite-based spatio-temporal remote sensing in soil and plant nutrients/organic matter, ecosystem health (such
as agriculture, rangelands, and forests), natural hazards, land use/cover changes (e.g. soil degradation); and/or water quality for health and societal well-being. The successful candidate will complement but not duplicate existing remote sensing expertise in Unmanned Airborne Systems (UAS) and precision agriculture. For the teaching program, the candidate will develop an undergraduate course in remote sensing
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