Associate Professor of Data Science

The University of Chicago invites applications for tenured faculty positions at the rank of Associate Professor in the area of Data Science. Appointments may be made in either the Department of Computer Science or the Department of Statistics, jointly between Statistics and Computer Science, or jointly with another department in the University.

The University of Chicago is implementing an ambitious plan for research and education in Data Science and AI, including new undergraduate and graduate academic programs 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 safe and trustworthy AI, foundations and applications of artificial intelligence, world models, large language models, scientific AI, data ethics and privacy, data visualization, societal impacts of data and AI, data engineering, and scalable data and AI systems. The Data Science Institute focuses on fundamental advances 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.

Members of the faculty are expected to lead research programs that will produce significant contributions to a field, and teach and mentor at the undergraduate and graduate levels., The following materials are required:

• cover letter;
• curriculum vitae, including a list of publications;
• statement describing past and current research accomplishments and outlining future research plans; and
• description of teaching and mentoring philosophy and experience.

The following materials may be requested:

• up to three publications and
• names of three or more people who can provide confidential letters of recommendation.

Required: A PhD in Data Science, AI, Statistics, Computer Science, Applied Mathematics, or related field. Candidates must have evidence of leadership in their field, successful independent research, and a demonstrated track record of mentoring PhD students and/or postdoctoral researchers.