Clinical Assistant Professor/Associate Professor/Professor in Computer Science

Chicago, Illinois
18 Jan 2019
End of advertisement period
18 Mar 2019
Contract Type
Full Time

The Department of Computer Science at The University of Chicago invites applications for all ranks of the Clinical appointment (Clinical Assistant Professor, Clinical Associate Professor, and Clinical Professor). These full-time, benefit-eligible appointments are for an initial three-year term, with possibility of renewal. This is a teaching-focused position with no research responsibilities, and a teaching load of six courses across three academic quarters of the year (Fall, Winter, Spring). Successful candidates will teach introductory programming and courses in topics of interest to students in the M.S. in Computational Analysis and Public Policy (MS-CAPP) or the Masters Program in Computer Science (MPCS). These could include (but are not limited to) courses in web development, cloud computing, linear algebra, natural language processing, advanced topics in machine learning, and other courses at the intersection of public policy and computer science.

Successful candidates will have exceptional competence in teaching and superior academic credentials. Completion of a Master's degree in Computer Science or a related field is re-quired prior to the start of appointment; a Ph.D. in Computer Science or a related field is preferred. Several years of professional experience in industry, government, or the non-profit sector preferred.

Applicants must apply on line at the University of Chicago Academic Careers website at

To be considered an applicant, the following materials are required: 

  • Cover letter
  • Curriculum vitae or resume
  • One-page teaching statement, which should include a list of potential electives.
  • The names and contact information for three references, one of who can address the candidate's teaching ability or potential

Review of complete applications will begin February 25, 2019, and continue until all positions are filled.

The M.S. in Computational Analysis & Public Policy  ( is a rigorous, two-year program offered jointly by the Harris School of Public Policy and the Department of Computer Science at The University of Chicago. The core curriculum is builds foundational knowledge of computer science, statistics, and public policy analysis. Students then go on to advanced course work in econometrics, machine learning, big data methods, data visualization, and application development all while learning how to apply these skills in the policy realm. MS-CAPP graduates have become civic technologists, data scientists, and policy researchers bringing modern technology to bear on the societal problems that matter most.

The Masters Program in Computer Science ( is a terminal MS degree in Computer Science that provides a rigorous introduction to the foundations of Computer Science, while also providing in-depth and hands-on instruction in cutting-edge and industry-driven topics, including Web and Mobile Application Development, Big Data, Cloud Computing, Data Analytics, etc. The program attracts a diverse mix of students including full-time students who are typically no more than 5 years out of college, part-time students who already work in industry, and international students.