Visiting Assistant Professor of Business Economics
About The Position
The Department of Decision Sciences and Economics at Texas A&M University – Corpus Christi (TAMU-CC) is seeking applications for a full-time, 9-month, non-tenure track, Visiting Assistant Professor of Business Economics, starting in Fall 2026. This role is pivotal in the strategic launch of a new interdisciplinary Artificial Intelligence curriculum, requiring the successful candidate to integrate economic theory with applied Artificial Intelligence (AI), including predictive machine learning, Generative AI systems, econometrics, and data analytics. The position is located at the Corpus Christi campus. The ideal candidate will hold a doctoral degree in Economics, Data Analytics, or a closely related field from an AACSB-accredited (or equivalent) institution and demonstrate a strong commitment to teaching and research excellence. Responsibilities include teaching core Economics courses and shaping new curriculum in areas such as Applied Machine Learning for Business, AI Strategy, and Generative AI prototyping. Teaching duties will span undergraduate and graduate levels and may involve a combination of in-person, online, and HyFlex course delivery. Texas A&M University-Corpus Christi is a vibrant Doctoral Research Institution, part of the distinguished Texas A&M System, known for its academic reputation and unique island campus location.
Requirements
- Doctoral degree in Economics, Data Analytics or a closely related field from an AACSB-accredited (or equivalent) institution.
- Demonstrated excellence in teaching at the principles level and in upper-level economics courses.
Nice To Haves
- Expertise in teaching Machine Learning and Data Analytics.
- Experience teaching online and HyFlex courses
- Experience teaching graduate courses
Responsibilities
- Teach undergraduate and graduate courses bridging Economics, Data Analytics, and Applied AI.
- Co-lead the implementation of new AI-focused curriculum, guiding students through practical applications such as predictive modeling, AI workflow automation, and Minimum Viable Product (MVP) prototyping.
- Continue to conduct high quality research in the field.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
501-1,000 employees
