Assistant/Associate Professor for Applied Economics

NCAT • Greensboro, NC

9d

About The Position

The Department of Agribusiness, Applied Economics and Agriscience Education is seeking candidates for a 9-month, tenure track position of Assistant or Associate Professor in Applied Economics, with a promising record of applied economic research in agricultural, food, resource, or environmental economics. The faculty member will be responsible for developing and delivering course content in agribusiness and/or applied economics with primary emphasis in data science and analytics (Big Data), statistical/econometric and computational methods, demonstrated Python, Stata, R, and/or SAS programming experience as well as developing a quality academic research program with a promising refereed publication record. Prospective candidates are also expected to assist with the leadership of the Department’s Analytical Survey Laboratory, to provide knowledge of qualitative and quantitative methods with applications of Big Data analytics, and to provide analytic expertise to expand the Department’s research portfolio. Excellence in teaching and curriculum development is required with strong consideration of first-generation and diverse student populations. Continuous service involvement with the profession, Department, College, University, and Community are also expected.

Requirements

• All candidates must hold a Ph.D. in agricultural/applied economics, economics, agribusiness, or a related field by the time of appointment.

Nice To Haves

• Candidates must show accomplishments in quantitative methods and the potential for building a strong research and teaching program in econometrics and/or business data analytics.

Responsibilities

• Developing and delivering course content in agribusiness and/or applied economics with primary emphasis in data science and analytics (Big Data), statistical/econometric and computational methods
• Developing a quality academic research program with a promising refereed publication record
• Assisting with the leadership of the Department’s Analytical Survey Laboratory
• Providing knowledge of qualitative and quantitative methods with applications of Big Data analytics
• Providing analytic expertise to expand the Department’s research portfolio
• Excellence in teaching and curriculum development is required with strong consideration of first-generation and diverse student populations
• Continuous service involvement with the profession, Department, College, University, and Community

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 501-1,000 employees