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Wesleyan University’s Quantitative Analysis Center (QAC) and the Wesleyan Media Project (WMP) are looking to hire up to two research fellow positions beginning in Summer 2019.
We are seeking postdoctoral or pre-doctoral researchers in computational social science to join us at the forefront of advancing real-time analyses of political and health-related audiovisual and textual messages using computational methods. WMP leverages large-scale advertising and media messaging datasets applying theory and methods from political science, behavioral and communication science, network science, data science and machine learning.
The fellowship positions are for a one-year appointment beginning July 1, 2019 with an option for an additional second year contingent upon performance. Individuals with a PhD, or those working towards a PhD, in computer science, data science, political science, in quantitative social science fields, or a cognate discipline including network science or machine learning are encouraged to apply.
Preference for candidates with expertise and experience in topic modeling, AI, statistical natural language processing / text mining and analysis of audiovisual materials (including sound, images and video). The fellow will work closely with Dr. Fowler, WMP’s Project Manager, and QAC faculty and staff on the analysis of textual, visual, and video-based political and health messages from a variety of sources (political/insurance TV ads, digital/social/online ads, television news, tweets, etc.) and will be involved in collaborative publications on an interdisciplinary program to analyze the volume, content, and effect of media messaging on television and online in electoral and health policy contexts.
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As a Fellow the successful candidate will engage in original research, test and evaluate alternative algorithms and have the opportunity to present and publish your work. The position will also contribute broadly both to computational analysis in the QAC and in the social sciences at Wesleyan by working with undergraduate students engaged in the lab’s research projects and by offering courses in the Quantitative Analysis Center. The teaching load is one course per year in the first year and one course per semester in the second year. We strongly encourage applications from underrepresented minorities.