Earned doctoral degree in Animal Science or a closely related field at the time of employment at the University of Tennessee. Has an interest in Precision Beef systems with emphasis on herd health, environmental sustainability, and/or climate resilience. Possesses advanced training or experience in statistics and/or data science. Individual must demonstrate effective oral and written communication skills, have or be willing to develop a passion for animal science-related research and statistical applications in agriculture. To be considered for the rank of endowed associate or full professor, the candidate must have a proven record of scholarly publications in peer-reviewed journals, successes in obtaining extramural grant and contract funding to support research efforts, a passionate teacher, and effectively mentoring graduate students that are worthy of the respective rank. All applicants must be authorized to work in the U.S. on a long-term basis.

Responsibilities and Expectations:

• 9-month, tenure-track position with 85% Research and 15% Teaching responsibilities
• Establish an independent, nationally recognized research program (basic and/or applied) in the area of Precision Beef Systems with emphasis on herd health, environmental sustainability, and/or climate resilience, which would benefit Tennessee, US, and global livestock industries
• Form collaborative research partnerships with faculty within and outside the university, especially in association with the new Hickman Precision Agriculture Technology Unit and Precision Livestock Farming Program (https://plf.tennessee.edu/) 
• Develop an extramurally funded, nationally recognized research program
• Be prolific in scholarly publications and presentations
• Successfully mentor undergraduate and graduate student research assistants
• Teach one graduate level course on Experimental Design (ANSC 571) per year
• Participate in other activities of the Department of Animal Science such as committee service and recruitment

Research efforts may integrate any type of experimental data or techniques related to applicant's interests, possibly including sensor development & deployment,