Instructional Professor – Computational Social Science

The University of Chicago
MA Programs - Social Sciences Division

Position: We are hiring an Instructional Professor in Computational Social Science in the Master of Arts Program in Computational Social Science (MACSS) at the University of Chicago.

Qualifications: 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. We especially welcome applications from members of underrepresented groups in computing.

Program: 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. The IP is a professional track at the University of Chicago, open to rank, including at the Assistant, Associate, or full Instructional Professor level. The teaching load consists of four courses and mentoring responsibilities within the program.

More information can be found in this link and applications can be submitted through Interfolio:

EEO 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 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.