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Subject:
From:
Paul Manna <[log in to unmask]>
Reply To:
Political Methodology Society <[log in to unmask]>
Date:
Thu, 13 Dec 2018 18:38:09 +0000
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Dear Colleagues,


In a new development, the Department of Government at William & Mary recently received a new tenure-track line to hire at the Assistant Professor level to teach courses on Government and Data Science.


Details are below, including the application review date of January 15, 2019.  Don't hesitate to reach out to me if you have questions about this opportunity.


All my best,

Paul


Paul Manna
Chair, Department of Government
Isabelle and Jerome E. Hyman Distinguished University Professor of Government
Faculty Affiliate, W&M Public Policy Program
College of William & Mary
http://pmanna.people.wm.edu/



Department of Government

William & Mary

Assistant Professor of Government (Data Science/Computational Soc. Sci.)


The Department of Government at William & Mary seeks applications for a tenure track position at the Assistant Professor level with a focus on data science / computational social science. We encourage applications from excellent candidates in any subfield of political science (or cognate discipline) who have a strong focus on topics such as, but not limited to, the collection, management, analysis, visualization, or ethical use of data. The successful candidate will have excellent preparation; will possess a demonstrated commitment to producing high-level scholarship and outstanding classroom teaching; will help the Department bring new perspectives to its research profile and curricular offerings; and will be interested in mentoring student research or conducting collaborative research with students.


Applicants must hold a Ph.D. in political science or a cognate discipline at the time of appointment (August 10, 2019). Applicants must be prepared to teach Government courses to undergraduates at the intermediate and advanced level that will cross-list with Data Science.


Teaching will include a mix of lecture and seminar courses, including capstone seminars, at the undergraduate level, offered in the Department of Government and cross-listed with the Data Science Program. The position’s tenure home is in the Department of Government.


Applicants must apply online at https://jobs.wm.edu. Submit a curriculum vitae, a cover letter including statement of research and teaching interests, evidence of teaching effectiveness, transcript (unofficial is acceptable for initial application), a writing sample, and a statement describing previous professional experiences or future plans (or both) that demonstrate a commitment to diversity and inclusion. You will be prompted to submit online the names and email addresses of three references who will be contacted with instructions for how to submit a letter of reference. For full consideration, submit application materials by the review date, January 15, 2019. Applications received after the review date will be considered if needed.


Information on the Department of Government is at http://www.wm.edu/as/government/. We are one of the largest majors on campus and our faculty participate in and receive support from various research centers on campus as well. Our faculty also contribute to interdisciplinary programs such as Africana Studies, Data Science, Environmental Science and Policy, Gender Sexuality and Women’s Studies, Global Studies, International Relations, Public Health, and Public Policy. Information on the Data Science Program is at: https://www.wm.edu/as/charlescenter/academic-programs/interdisciplinary/structured/data-science-minor/index.php. William & Mary is located in Williamsburg, Virginia, convenient to Richmond (the state capital) and Washington, DC.

The College of William & Mary values diversity and invites applications from underrepresented groups who will enrich the research, teaching and service missions of the university. The College is an Equal Opportunity/Affirmative Action employer and encourages applications from women, minorities, protected veterans, and individuals with disabilities.

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