Assistant Professor Bookmark this Posting Print Preview | Apply for this Job Posting Details Posting Details Job Title Assistant Professor Requisition Number FE04836 Working Title Department Name 81050:BIOSYSTEMS & AGR ENGINEERING Work Location Lexington, KY Type of Position Faculty Position Time Status Full-Time Tenure Track Status Tenure Track Required Education A Ph.D. in biosystems/agricultural engineering or a
closely-related field with an emphasis in hydrology, water quality monitoring, and/or nature-based water treatment designs. In addition, the candidate should have some experience in AI, machine learning, and/or managing large data sets related to water resources and/or ecological engineering design. Required Related Experience - The ability to oversee graduate students and demonstration of outstanding written and
verbal communication skills.- Demonstrate commitment and ability to work with teams on interdisciplinary problems.- Create a proactive, high-impact research program that supplies clientele with new methods to analyze hydrologic and water quality impacts in agricultural and urban settings.- Teach one undergraduate and one graduate course per year; recruit and direct MS and PhD graduate students.- Contribute to the
multi-functional land-grant mission of the department. Required License/Registration/Certification A P.E. or demonstrate the ability to qualify for a P.E. in Kentucky Job Summary The University of Kentucky’s Department of Biosystems and Agricultural Engineering is recruiting for a full-time, 12-month, tenure-eligible Assistant Professor in the Regular Title Series related to hydroinformatics. This position has an
anticipated start date of July 1, 2027, with a distribution of effort of approximately 70% research, 25% instruction, and 5% service. The successful candidate will be expected to establish an integrated, nationally recognized program on topics such as:· Integrating water resource and agricultural related datasets to develop and enhance process-based and AI models to analyze and predict the impact of agricultural and
implementation of best management practices to address hydrologic and water quality challenges.· Develop novel and/or utilize existing models to aid in the design and implementation of practices that would reduce the impact of extreme rainfall events.· Complement ongoing work with researchers and stakeholders to efficiently acquire, process, and model water quality and hydrologic data from a wide array of sources.
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