University of Georgia

Position Title/Short Description

Full Text of JOE Listing:

The Department of Agricultural and Applied Economics at the University of Georgia seeks to recruit an Assistant/Associate Professor (Tenure Track, 9-month Appointment) whose research incorporates artificial intelligence (AI) methods. This position is part of the University of Georgia Presidential Interdisciplinary Faculty Hiring Initiative in Data Science and Artificial Intelligence.

Qualifications: Ph.D. in Agricultural Economics, Economics, or closely related field is required, a willingness to work in a team environment, and excellent oral and written communication skills. Preferred qualifications include: (1) potential to build an outstanding record of research in the area of specialization as evidenced by numerous publications in the premier agricultural economics, applied economics, and economics journals and presentations to relevant audiences, leading to a national and international reputation in the fields of artificial intelligence related to agriculture and food systems; (2) readiness to build an excellent graduate and undergraduate student teaching and mentoring record; and (3) a willingness to secure significant external grant funding, and (4) potential to have a positive and meaningful impact on the agricultural industry in Georgia and collaborate with an interdisciplinary team of scientists in the UGA Institute for Integrative Precision Agriculture.

Job Description: The position is a 70% research, 25% teaching, and 5% service appointment. The incumbent will be expected to develop a nationally renowned scholarly program in economic aspects of emerging artificial intelligence technologies affecting agriculture and food systems. Within this, the desired research/teaching areas include, but are not limited to, agricultural management (including integrative precision agriculture systems), bioenergy and climate-smart commodities, food and fiber system management, environmental climate change and the impacts on agricultural productivity or the food supply chain, or remote sensing and big data.

Major responsibilities will include: 1) developing a nationally recognized scholarly program in emerging technologies affecting agriculture and food systems, 2) publishing research in major agricultural and/or economics journals, 3) teaching undergraduate and graduate courses, 4) advising undergraduate and graduate students, and 5) securing sufficient grants and contracts to fund graduate students and postdoctoral scholars. The teaching appointment is expected to translate to teaching two regular courses per academic year with one of the classes on applications of machine learning and artificial intelligence to agriculture and food systems at either the undergraduate or graduate level.

Expected start date is August 2023.