Visiting Assistant Professor of Business Economics

Texas A&M University System • Corpus Christi, TX

1d • Hybrid

About The Position

The Department of Decision Sciences and Economics at Texas A&M University – Corpus Christi (TAMU-CC) invites applications for a full-time 9-month, non-tenure track, Visiting Assistant Professor of Business Economics beginning Fall 2026. The successful candidate will play a pivotal role in the strategic launch of a new interdisciplinary Artificial Intelligence curriculum, integrating predictive machine learning and Generative AI systems with econometrics and data analytics. This position will be located at the Corpus Christi campus. The role requires a doctoral degree in Economics, Data Analytics, or a closely related field from an AACSB-accredited (or equivalent) institution, and a commitment to teaching and research excellence. In addition to teaching core courses in Economics, the candidate will be instrumental in teaching and shaping new curriculum, including courses covering Applied Machine Learning for Business, AI Strategy, and Generative AI prototyping. Primary teaching responsibilities are at the undergraduate and graduate levels and may require a combination of in-person, online, and HyFlex courses. The TAMU-CC College of Business is accredited by AACSB International and serves a vibrant student body across multiple campuses and online, valuing innovation, integrity, and collaboration. Texas A&M University-Corpus Christi is a Doctoral Research Institution known for its academic reputation, faculty, and degree programs, located on its own island at the heart of the Texas Gulf Coast.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree