Dear Polmeth Community,
Please see below for a postdoc position at Pitt.
Best,
Jon
Postdoctoral Research Associate in the Politics and Economics of Inequality
The Department of Political Science is seeking a highly motivated Postdoctoral Research Associate with strong quantitative skills and experimental methods training in Economics, Political Science, or a related computational or social science discipline. The successful candidate will work under the supervision of Professor Jonathan Woon and collaborate on projects with the expectation of producing coauthored publications, using incentivized laboratory experiments and/or survey experiments and focusing on research addressing economic and racial inequality (including equality of opportunity, redistribution, affirmative action, and reparations), attitudes and preferences for fairness, beliefs about meritocracy, and knowledge of historical and structural inequality. Depending on interest, additional collaborations are possible on elections and voting games, ranked choice voting, beliefs, and partisan identity.
The position carries no teaching or service responsibilities, includes expectations of independent research, and provides a research allowance for travel and research expenses. The initial appointment is for one year, with the potential for renewal based on performance.
The social science and behavioral and experimental economics communities in Pittsburgh offer a vibrant, stimulating intellectual environment. Participation in the intellectual life of the Department of Political Science, the Department of Economics, and the Pittsburgh Experimental Economics Laboratory is encouraged.
Required qualifications:
* PhD in Political Science, Economics, or related social science discipline within last 6 years
* Strong training and skills in quantitative data analysis in R or Stata
* Experience in experimental research design and implementation (laboratory or online, incentivized or survey)
* Initiative and ability to work independently in research conceptualization and implementation
* Excellent writing, communication, and collaboration skills
Preferred qualifications:
* Proficiency with Python, o-tree, Qualtrics, Prolific, Mechanical Turk.
* Training and experience in causal inference, computational social science, machine learning, natural language processing.
To apply, submit 1) a cover letter detailing your interest in the position and relevant qualifications, 2) a CV that includes names and contact information for at least two academic references, and 3) a solo-authored writing sample at https://cfopitt.taleo.net/careersection/pitt_faculty_external_pd/jobdetail.ftl?job=23005971.
Start date is negotiable between September 15, 2023 and January 15, 2023. Review of applications will begin on August 21, 2023 and continue until the position is filled. Inquiries should be directed to Professor Jonathan Woon ([log in to unmask]<mailto:[log in to unmask]>).
The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.
The University of Pittsburgh requires all Pitt constituents (employees and students) on all campuses to be vaccinated against COVID-19 or have an approved exemption. Visit coronavirus.pitt.edu to learn more about this requirement.
--
Jonathan Woon
Associate Dean for Graduate Studies
Professor of Political Science
Dietrich School of Arts and Sciences
University of Pittsburgh
The Dietrich School is committed to fostering a culture where work-life balance is valued and respected. Responses to email and calls can be expected during typical business hours.
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