Instructional Professor (open rank) in Data Science
Company: The University of Chicago
Location: Chicago
Posted on: April 2, 2026
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Job Description:
The Data Science Institute invites applications for the position
of Instructional Professor (open rank) in the area of Data Science.
The selected candidate will be appointed as Assistant Instructional
Professor, Associate Instructional Professor, or Instructional
Professor, depending on qualifications. Appointments will be made
in the Data Science Institute. The appointment will be for a term
of up to five years, renewable. This is a career-track position
with potential progression, competitive salary, and benefits. This
position is expected to begin on or around September 1, 2026. The
terms and conditions of employment for this position are covered by
a collective bargaining agreement between the Service Employees
International Union (SEIU) and the University. In addition to
teaching (an average teaching load is 2 courses per quarter in the
fall, winter, and spring quarters), the candidate will also be
expected to keep regular office hours, contribute to non-classroom
instructional or service duties and ongoing professional
development. This position is benefits-eligible. The University of
Chicago offers a wide range of benefits programs and resources for
eligible employees, including health, retirement, and paid time
off. Information about the benefit offerings can be found in the
Benefits Guidebook . The University of Chicago is implementing an
ambitious plan for research and education in Data Science and AI,
including new academic programs at the undergraduate and graduate
levels and new cross-disciplinary research programs. The Data
Science Institute ( datascience.uchicago.edu ) is a collaboration
among the Department of Computer Science ( cs.uchicago.edu ), the
Department of Statistics ( stat.uchicago.edu ), and other units on
campus. Topics of interest include foundations and applications of
artificial intelligence, machine learning, large language models,
scientific AI and machine learning, data ethics and privacy, data
visualization, societal impact of data and AI, safe and trustworthy
AI, data engineering, scalable data systems, and high-dimensional
statistical inference. We encourage applications from all
researchers focused on developing the foundations and practice of
Data Science as an emerging field. The Data Science Institute
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 Committee on Data Science (codas.uchicago.edu) is the
home of data science education programs. The larger data science
community at the University of Chicago includes the Committee on
Computational and Applied Mathematics ( cam.uchicago.edu ), the
Toyota Technological Institute at Chicago (TTIC), the Polsky Center
for Entrepreneurship and Innovation, Fermilab and Argonne National
Laboratory. Required: By the time of appointment, a PhD in
statistics, computer science, or some field of mathematics or
science where data science concepts play an important role. At
least one year of university-level teaching experience, either as
an instructor of record or as a teaching assistant. Preferred:
Training, credentials, or experience in teaching undergraduate and
graduate courses in data science or machine learning.
Keywords: The University of Chicago, Waukesha , Instructional Professor (open rank) in Data Science, Education / Teaching , Chicago, Wisconsin
