Open Rank Faculty Position in Computational Communication

Employer
University of Texas at Austin
Location
Texas, United States
Salary
Salary Not specified
Posted date
Aug 30, 2021

View more

Position Type
Faculty Positions, Communications, Public Relations & Advertising
Employment Level
Administrative
Employment Type
Full Time


Open Rank Faculty Position in Computational Communication

College/School/Unit: Moody College of Communication
Department:
Posted: Aug 24, 2021
Apply By: Open until filled

Description

The Moody College of Communication at the University of Texas at Austin invites applications for an open-rank, full-time, tenured or tenure-track Computational Communication faculty member. The candidate should use computational social science methods in service of communication research and practice.

The candidate would be housed in the Moody College of Communication with an appointment in one or more of the college departments and schools that best fits their research (Advertising and Public Relations; Communication Studies; Journalism and Media; Radio-Television-Film; and Speech, Language, and Hearing Sciences), with the opportunity for a courtesy appointment in an affiliated unit, such as the Computer Science Department or iSchool. Candidates would also have the opportunity to join the vibrant research center and institute culture in Moody College.

The candidate should have a research program that displays excellence in applying computational social science methods such as big data analytics, network analysis, NLP, machine learning, or data visualization to study communication and media phenomena.

The appointment will begin in August 2022.

In addition to teaching graduate seminars, the ability to teach large undergraduate lecture classes and web-based courses are preferred. The candidate should be able to teach computational social science courses including teaching programs such as Python or R.

The ideal candidate would use computational methods to investigate interactions between technologies and society. Possible research areas could include algorithmic bias or auditing, personalization/ targeting, virality, fairness in AI, content moderation, collective intelligence, human-computer interactions, social contagion, etc.

Qualifications

Applicants must have completed a Ph.D. at the time of the appointment. The applicant's Ph.D. could be from fields other than communication, such as computer science, information, political science, sociology, or a related field. The candidate should be able to teach computational social science courses including teaching programs such as Python or R.

Application Instructions

Interested applicants should submit a letter of application, a current curriculum vita, and a list of three references. Applicants are also required to submit a separate diversity statement, addressing their commitment to inclusivity and support for diverse populations, along with information on their past contributions to this work and their future plans in these areas. Applications must be made via Interfolio's ByCommittee solution. 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.

Applications will be reviewed starting October 15th, the posting will remain open and candidates will be considered until the position is filled.

The Moody College of Communication is committed to achieving diversity in its faculty, students, and curriculum, and it welcomes applicants who can help achieve these objectives. The University of Texas at Austin is a tobacco-free campus; for more information visit http://www.utexas.edu/tobaccofree/.

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.


To apply, visit https://faculty.utexas.edu/career/80630

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