Tenure-Track Advertising Faculty Position in Strategic Communication Media & Data Analytics
Austin, TX
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The University of Texas at Austin
The University of Texas at Austin is a bold, ambitious leader, providing a first-class education and the tools of discovery to more than 51,000 students.Description
The Stan Richards School of Advertising & Public Relations at the University of Texas at Austin invites applications for a full-time tenure-track faculty member in Advertising at the rank of assistant professor to begin in Fall 2026. The School of Advertising & Public Relations is housed within the Moody College of Communication, which is ranked #2 in Communication and Media Studies in the United States and #4 in the QS World University Rankings. Moody College includes programs in Communication Studies, Journalism and Media, Radio-Television-Film, and Speech, Language, and Hearing Sciences.
The candidate should be focused on the areas of media, data analytics, and/or the utilization of AI (artificial intelligence) in strategic communication. The ideal candidate will be able to teach across various media and advertising courses including Media Planning, Digital Metrics, Advertising Intelligence, Media Management, and Advanced Research Methods. Experience in the advertising or media industries is preferred but not required.
The candidate should have a research program that displays excellence in applying advertising, strategic communication, and communication theories in the study of media and analytics. Research topics of interest for this position include interdisciplinary research areas such as human-computer interaction, artificial intelligence, B2B brand and demand analytics, social media listening, and related developments. In addition to teaching undergraduate lecture classes, the candidate should be able to teach and advise graduate students at both the Masters and Doctoral levels.
Additionally, UT Austin offers faculty opportunities to be involved in interdisciplinary Grand Challenges such as Planet 2050, Good Systems (AI for Good), and Whole Communities, Whole Health.
Qualifications
Required Qualifications
- Applicants must have completed a Ph.D. at the time of the appointment. The applicant's Ph.D. must be in advertising/communication or a related field.
Preferred Qualifications
- Experience collaborating across disciplines, especially in areas where persuasive communication intersects with other fields like business, psychology, sociology, or technology.
- Actively engage in research and scholarly activities that contribute to the academic excellence of the school.
- Ability to work closely with the professional community to provide students both theoretical and practical exposure to advertising or strategic communication.
- Professional experience working in advertising, such as within agency, corporate/in-house, or media agency settings or consulting with strategic communication functions/agencies.
Application Instructions
Applicants should submit a letter of interest, curriculum vitae, statements on teaching and research (each statement no more than 500 words) and the names and contact information for three references. Letters of recommendation will be requested of finalists.
Screening of applicants will begin October 1, 2025 and will continue until the position is filled. Applications must be made via Interfolio. If you do not have a Dossier account with Interfolio, you will be prompted to create one prior to applying for the position. If you have questions about using Interfolio, please email help@interfolio.com or call (877) 997-8807.
Questions can be directed to the chair of the search committee, Dr. Gary Wilcox, at burl@mail.utexas.edu.
Equal Employment Opportunity Statement
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Consulting Data Analytics Research Teaching
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