Research Fellows in Computational Social Science

Wesleyan University

Middletown, CT

ID: 7062365
Posted: November 15, 2019
Application Deadline: Open Until Filled

Job Description

Position Information
Job Posting Number F00235
Position Title Research Fellows in Computational Social Science
Department Quantitative Analysis Center-1176
Job Category Faculty Posting
Position Type Full-Time
Position Details
The Wesleyan Media Project (WMP) led by Dr. Erika Franklin Fowler, in collaboration with Wesleyan University’s Quantitative Analysis Center (QAC), is 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. 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.

Minimum Qualifications
Ph.D. (ABD considered) in computer science, data science, quantitative social science and related fields.

Strong interest in collaborating on data mining projects and willing to work with social scientists and students of different backgrounds.

Experience with applications of machine learning in data analysis. The ideal candidate will have expertise and experience in text mining, use of HPC tools and data extraction and analysis from audio and video sources. Experience in teaching quantitative/computing courses to undergraduate students.

Management Competencies
Competencies
Special Instructions To Applicants
You will be asked to upload electronic versions of the items we require, which are (1) a cover letter of application, (2) a curriculum vitae, (3) statement of research, and (4) teaching interests. As part of the teaching statement (or cover letter), we invite you to describe your cultural competencies and experiences engaging a diverse student body.

You will also be asked to provide the email addresses of two referees from whom we may obtain confidential letters of recommendation (please double-check the accuracy of the email addresses of the referees you name to insure that you have the most up-to-date email addresses for each one).

After you have submitted all of the required documents, you will see a confirmation number. At that point, each of the two referees whose email address you have provided will receive an automatically-generated email requesting that he or she submit a letter of reference for you.



 

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