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  • Assistant Professor of Production Econometrics
    Agri Economics & Rural Soc
    Auburn University

    The Department of Agricultural Economics and Rural Sociology (DAERS) in the College of Agriculture at Auburn University is seeking an Assistant Professor in Production Econometrics to join a diverse environment of high-quality scholars dedicated to the discovery, education, and application of research-based knowledge.[b] [/b]This position is a 9-month tenure-track, academic-year appointment with an allocation of 40% teaching and 60% research, as well as service to the Department, College, and University. The expected start date is August 1, 2022. Current assistant professors are also eligible to apply, and negotiations over shortened tenure and promotion schedules are possible.

    [b]Responsibilities:[/b][i]Research[/i]: The successful candidate will develop an active, innovative, and externally funded research program that focuses on the application of big data to agricultural production problems using econometrics, machine learning, or other advanced analytic techniques. A substantive portion of this research will focus on applying valid underlying economic models to give actionable advice to farmers. Providing information on innovative solutions to agricultural data management will be important. Collaboration with faculty and professionals across the College of Agriculture is expected. This position will contribute to the strategic vision of the University and College through excellence in graduate education, innovative partnerships, community engagement, entrepreneurship, and world-class research efforts. [i]Teaching[/i]: The teaching load for this position is three courses per year. Courses include a master’s level applied econometrics and a master’s level operations research, which focuses on applied optimization methods. The third course will depend on candidate interests/preparation, and it will be at the undergraduate or graduate level in advanced database management, production economics, or quantitative methods. Courses are subject to change based on Department needs.

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