The University of Chicago — Instructional Professor in Computational Social Science

The Division of Social Sciences at the University of Chicago invites applications for a position as Instructional Professor (IP) in the MA program in Computational Social Science (MACSS, This is a full-time, career-track teaching position. The initial three-year appointment will begin in Academic Year 2022-23 and is renewable with an opportunity for promotion. Appointment at rank Assistant, Associate, and full Instructional Professor will be considered based on the candidate’s experience.

The Master of Arts in Computational Social Science (MACSS) is a two-year MA program that trains students in the theory and methods of algorithmic and statistical research using large datasets to enhance their understanding of political, economic, and social behavior. The MACSS curriculum provides opportunities to apply computational methods to fields across the social sciences, including economics, psychology, political science, sociology, anthropology, and history. Approximately 20% of our graduates go on for a Ph.D., 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 (some combination of machine learning, modeling, simulation, data visualization, social network analysis, NLP, high-performance computing, application development, or introductions to important programming languages) and 1-2 computational social science electives.

In addition, the IP will advise 16-18 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 annual MA theses; attend and participate in the weekly MACSS workshop; hold weekly office hours; hire and manage 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 Ph.D. in computer science, data science, sociology, economics, political science, psychology, or a related discipline. The Ph.D. must be in hand before the start date. Prior teaching experience is expected.

Application Instructions
The following materials must be submitted through Interfolio at (1) a cover letter, outlining the applicant’s prior training and research 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 excellence in teaching or mentoring; and (6) the names and contact information of three recommenders.

The review of applications will begin on May 27th and will continue until the position is filled or the search is closed.

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


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 based on race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected 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 773-702-1032 or email with their request.