JOBS@ECPR-METHODS: Postdoc in Quantitative Social Sciences at Dartmouth

The Program in Quantitative Social Science (QSS) seeks a postdoctoral research fellow for full-time appointment during the 2017-2018 academic year. The fellow will work with Professor of Government Brendan Nyhan and be housed in and affiliated with QSS, an interdisciplinary program that integrates modern statistical and computational research techniques with contemporary social science questions. Applicants should have a proven record of research success; excellent writing and organizational skills; and expertise in experimental design, applied statistics, and/or computational social science.

The QSS fellow will work with Nyhan on new and ongoing projects in areas including studies of misperceptions and fact-checking in politics and health, the role of party networks in contemporary American politics, and methods for addressing post-treatment bias in experiments. Project work will be determined in consultation with the fellow based on their skills and interests. In addition, the fellow will conduct their own research with mentoring from Nyhan and other faculty associated with QSS and participate in the intellectual life of QSS by attending seminars, consulting with faculty and students on research, etc. QSS fellows also join a broader community of postdoctoral social science researchers at Dartmouth that includes scholars at the Neukom Institute, the John Sloan Dickey Center, and the Dartmouth Society of Fellows.

The stipend for the QSS fellow is $50,000 with a $5,000 account available for equipment, travel, and research materials. Subject to consultation with the QSS Chair, there may be an opportunity for the fellow to teach a one-quarter course with an extra stipend. The fellowship can be extended through the 2018-2019 academic year subject to the approval of Nyhan and the QSS chair.

QUALIFICATIONS
1. Ph.D. in a social science discipline or expected Ph.D. by September 2017
2. Related substantive research interests and methodological expertise
3. A proven ability to work both independently and collaboratively

APPLICATION INSTRUCTIONS
Please upload:
1) Curriculum vitae that includes all publications
2) Statement of research interests no longer than two pages that includes a short description of the research the applicant would like to pursue while in residence at Dartmouth
3) Names of Dartmouth faculty of interest to the applicant
4) Three letters of reference
5) A paper written in English, either published or unpublished

Applications will be reviewed starting on October 1, 2016. To apply, please visit https://apply.interfolio.com/37062.

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