Instructional Professor (open rank) in Data Science at The University of Chicago in Chicago, Illinois

Job Description:

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, 2025. 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.


Position responsibilities include teaching (average teaching load is 2 courses per quarter in the fall, winter and spring quarters), ongoing professional development, and non-classroom instructional or service duties as needed.


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, 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. 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 Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, Fermilab and Argonne National Laboratory.



Qualifications



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.

Application Instructions



Applications must be submitted online through the University of Chicago's Academic Jobs website: apply.interfolio.com/160114


Review of applications will begin on January 15th, 2025 and will continue until all positions are filled.


The following materials are required:

• cover letter;


• curriculum vitae, including teaching experience and publications;


• syllabi of courses previously taught and/or designed by the candidate or sample syllabi of proposed courses


• teaching statement, which should include information about the candidate's teaching and mentoring activities, teaching philosophy and goals; must include a list of courses the candidate is qualified to teach;


• three confidential letters of recommendation requested via Interfolio.


• Additional evidence of pedagogical accomplishment and promise, such as, but not limited to: a teaching portfolio, recent course evaluations, third-party observations of the applicant's teaching, or other relevant assessments.

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