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Oct 23 2023

Faculty Instructional Professors in the MA program in Computational Social Science

The University of Chicago Chicago, Illinois, United States


The Division of Social Sciences at the University of Chicago invites applications for Instructional Professors (IP) in the MA program in Computational Social Science (MACSS, This is a full-time, career-track teaching position. Appointments at the Assistant, Associate,, and Full rank will be considered with an initial term of at least three years, depending on rank, beginning by September 2024. Rank will be considered based on the candidate’s experience.

The Master of Arts in Computational Social Science (MACSS) is a two-year interdisciplinary MA program that trains students in the theory and methods of algorithmic, cutting-edge computational techniques—such as deep learning, AI, complex systems, and network science, broadly defined—to gain social scientific insights (in fields such as political science, psychology, sociology, anthropology, and history). Approximately 20% of our graduates go on for a PhD, while 80% seek research-oriented positions in industry, government, consulting, and a variety of think tanks.

The IP will annually teach four courses, including 2-3 in our MACSS curriculum and 1-2 computational social science electives, some of which may include introductory undergraduate courses for those new to computational social science. Our current course offerings are here: We welcome candidates from the broad research and teaching areas of computational social science, computational psychology, information science, and data science. Potential areas of focus include but are not limited to machine learning, deep learning, digital experimentation, natural language processing, data science, and data mining.

In addition, the IP will: advise a group MA students from matriculation through convocation and serve as the second reader on 7-9 MA theses; serve as the primary reader for an additional 2-3 MA theses each year; attend and participate in the weekly MACSS workshop; hold weekly office hours; coordinate teaching assistants ; contribute to program admissions, staff hiring, and student recruitment; attend staff meetings; support students in their applications to doctoral programs; and participate in occasional committee work. The position includes support for professional development.


Applicants must have a PhD in computer science, data science, information science, sociology, political science, psychology, or a related discipline. The PhD must be in hand prior to the start date. Prior teaching experience is expected.

Application Instructions

The following materials must be submitted through Interfolio at a cover letter, outlining the applicant’s prior training experience in their discipline, their prior teaching or mentoring experience, and their suggested course offerings; (2) a curriculum vitae; (3) at least one course syllabus; (4) an article-length writing sample employing a computational research design; (5) course evaluations or other evidence of past experience in teaching or mentoring; (6) a teaching statement; and (7) the names and contact information for three recommenders.

Review of applications will begin on November 30, 2023 and will continue until the position is filled or the search is closed.

This position will be part of the Service Employees International Union.

Equal Employment Opportunity Statement

All University departments and institutes are charged with building a faculty from a diversity of backgrounds and with diverse viewpoints; with cultivating an inclusive community that values freedom of expression; and with welcoming and supporting all their members.

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The University’s Statements on Diversity are at

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University’s Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-834-3988 or email with their request.

Job Categories: Full-Time. Job Types: Faculty.

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