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Communication Theory employing Computational Methods

We seek a colleague whose primary research interests are concerned with explicating, understanding, and evaluating fundamental processes of communication. The candidate must satisfy two criteria.

First, candidates must have a track record of communication research that is theoretically innovative. Specifically, the successful candidate is expected to have a research program that advances at least one key area of communication, such as neuroscience, virtual reality, serious games, persuasion, media processes and effects, computer-mediated communication, political communication, social cognition, organizational communication, or interpersonal communication.

Second, candidates must have experience and expertise in employing computational analytical or data science methods in communication research. Such methods may include computer-assisted text analysis, fMRI, sensing technologies, Bayesian inference, Markov models, time series analysis, dynamic network analysis, machine learning, or other state-of-the-art techniques.

Our new colleague will be expected to teach courses in communication theory, innovative methods in her or his area of expertise, courses in the candidate’s substantive area, and other courses based on the Department’s needs.

A doctorate degree is required before the first day of instruction. Applications must be submitted by October 8, 2018 to receive full consideration. This position is subject to final administrative approval. Position to begin July 1, 2019.


CountryUnited States
Starts on01/07/2019
Deadline07/10/2018 22:00
KeywordsComputational Social Science; big data; machine learning;

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