Job Details

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University of Chicago
  • Position Number: 4775615
  • Location: Chicago, IL
  • Position Type: Science - Computer Science


The Data Science Institute at the University of Chicago invites applications for a Senior Instructional Professor rank position in the area of Data Science. The selected candidate will be appointed as Assistant Senior Instructional Professor, Associate Senior Instructional Professor, or Senior Instructional Professor, with rank determined by qualifications. The appointment will be for a term of up to five years, renewable. This is a career-track position with competitive salary and benefits.

The successful candidate will be responsible, in consultation with faculty leadership, for leading and directing the new Masters in Data Science program. Duties will include teaching, developing new curriculum, admissions, advising, and managing non-student employees in the program.

The University of Chicago is implementing an ambitious plan for research and education in Data Science including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Committee on Data Science ( the home for data science education programs. The Data Science Institute ( a collaboration among the Department of Computer Science (, the Department of Statistics (, and other units on campus that focuses on research that advances fundamental theories at the intersection of data science, artificial intelligence, statistics, and computing in the context of real world and domain-specific problems. The larger data science community at the University of Chicago includes the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, and Argonne National Laboratory.



  • A Ph.D. in Data Science, Statistics, Computer Science, or a related field.

  • At least two years' experience teaching at the university level as an instructor of record.

  • Experience in management of academic programs, personnel, and budgets.


  • Demonstrable broad knowledge of the field of data science.

  • Training and experience to teach courses and develop curriculum in one or more of the following areas: data science, machine learning, artificial intelligence, and/or computer science.

Application Instructions

Applications must be submitted online through the University of Chicago's Academic Jobs website:

Review of applications will begin on November 18, 2023 and will continue until the position is filled.

The following materials are required:

  • Cover letter;

  • Curriculum vitae, including teaching experience and any publications;

  • Evidence of successful management of personnel, budgets, and academic programs (or evidence of potential to do so);

  • Evidence of teaching effectiveness, such as but not limited to, course evaluations, performance review, or other relevant assessment;

  • A teaching statement including description of teaching philosophy and experience;

  • Syllabi of courses previously taught;

  • Applicants are required to request at least three confidential letters of recommendation via Interfolio.

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.