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# CCB - Tenure-Track Assistant Professor in Management Information Systems (MIS)

- **Company:** University of Alabama
- **Location:** Tuscaloosa, AL, United States
- **Contract:** Permanent contract
- **Skills:** Information Systems, Software Engineering, Multi-Agent Systems, Generative AI
- **Published:** September 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c587bc258bab99a5

## About the Role

A track-record of external funding is a plus. Candidates must demonstrate excellence in undergraduate and/or graduate teaching. Preference will be given to those with experience in teaching courses related to Generative Artificial Intelligence., 1. A doctoral degree in MIS or a closely related field by the time the appointment begins;

 2. Candidates must provide tangible evidence of a strong commitment to lead independent research as lead authors and publish in MIS journals recognized on the Culverhouse Journal List, particularly in the 'Aspirational' and 'Excellent' categories: https://research.culverhouse.ua.edu/policies/college-journal-list/.
 3. Evidence of interest in and enthusiasm for teaching excellence;
 4. Willingness to provide service for the operation and functioning of the department, school, and university.

Preferred Qualifications

 1. Flexibility and latitude in teaching undergraduate and graduate courses. 2. Prior industry/professional experience. 3. Experience in teaching project-based courses with industry collaboration.

## Description

We seek a candidate whose teaching and research are centered on Generative Artificial Intelligence (GAI). Primary duties involve teaching undergraduate and graduate MIS courses, conducting high-impact research that appears in top peer-reviewed journals on the Culverhouse journal list, and contributing to service as assigned by the department, college, and university., * GAI governance, risk management, and responsible use

 * GAI in software development and ecosystems
 * Organizational and societal implications of GAI
 * Agentic systems and autonomous architectures
 * Organizational transformation enabled by GAI
 * Human-GAI collaboration and augmentation
 * GAI's impact on education and the future of work
 * GAI-specific research methodologies in MIS


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