
Website Massachusetts Institute of Technology
The Department of Political Science at the Massachusetts Institute of Technology (MIT) in Cambridge MA, together with the MIT Schwarzman College of Computing (SCC), seeks applicants for a position in the area of “Computation and Political Science” at the level of tenure-track Assistant Professor beginning July 1, 2024 (for the 2024–25 academic year), or as soon thereafter as possible. A PhD degree in political science, computer science, statistics, or another relevant field is required by the start of employment. We seek candidates whose research involves development and/or intensive use of computational and/or statistical methodologies, aimed at addressing substantive questions in political science. Areas of interest include methods for causal inference; AI/machine learning as applied to political questions; analysis and political implications of AI, big data, and computation; and other topics at the intersection of politics and computing. The successful candidate will have a shared appointment in both the Department of Political Science and SCC in either the Institute for Data, Systems, and Society or the Department of Electrical Engineering and Computer Science, depending on best fit. Faculty duties include conducting original research, and teaching and mentoring graduate and undergraduate students. The normal teaching load is three subjects per year (2+1 or 1+2). Candidates are expected to teach in both the Department of Political Science and educational programs of SCC.
MIT is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. Applications should include a cover letter which addresses your research agenda and teaching interests, and how your past efforts and future plans will advance diversity, equity, and inclusion in your scholarship, teaching, and service. Also include a CV, writing sample(s), and three recommendations. Please submit online applications to https://academicjobsonline.org/ajo/jobs/25219. Completed applications must be submitted by September 15, 2023. Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers.
To apply for this job please visit academicjobsonline.org.