Clinical Professor of Computer Science

University of Chicago Department of Computer Science

United States


The Department of Computer Science at the University of Chicago is seeking qualified applicants for the position of Clinical Professor of Computer Science to teach in the Masters Program in Computer Science (MPCS, and the MS in Computational Analysis and Public Policy (CAPP, The appointment will be for a term of up to five years, renewable. This is a full-time position with competitive salary, and benefits. 

This is a teaching position with no research responsibilities, and a teaching load of six courses across three academic quarters of the year (Autumn, Winter, Spring). The person holding this position will focus on teaching introductory and intermediate programming classes in Python and/or Databases classes, but will also have the option of teaching additional classes in their field of expertise. Fields of particular interest to both the MPCS and CAPP programs include Computer Systems (e.g., Computer Networks, Distributed Systems, Parallel Programming, etc.), Machine Learning, Web Development, Mobile Development, Cloud Computing, and Big Data Architectures.  

The Masters Program in Computer Science (MPCS) offers a comprehensive and professionally-oriented computer science education that combines the foundations of computer science with the applied and in-demand skills necessary for careers in technology, and is targeted for students interested in tech careers in Software Engineering, Data Analytics, Product Management and Application Development. 

MSCAPP is a professionally-oriented program offered jointly by the Department of Computer Science and the Harris School of Public Policy, and is designed for students seeking to leverage the power of technology and data science within the field of public policy. Through a highly interdisciplinary curriculum and opportunities for applied experience, students build expertise across the realms of computer science, data science, statistics, and public policy analysis, and ultimately embark on a career using modern tools to make a positive social impact within the public and non-profit sector.  

Courses in both programs are held for nine weeks during each academic quarter, with the tenth week for a final project or exam. Instruction is expected to be primarily in person, with some limited opportunities to offer remote or hybrid courses.


Minimum Qualifications:

  • One of the following:

    • A doctorate in Computer Science or a related field at the time of appointment

    • A master's degree and 4 years of relevant professional experience.

    • A bachelor's degree and 8 years of relevant professional experience.

  • Must have been the instructor of record in at least 3000 units of undergraduate and/or graduate course offerings in Computer Science or a related field over the span of at least 10 calendar years; 3000 units is typically equivalent to 30 quarter-long course offerings, or 20 semester-long course offerings. See for equivalencies between teaching units and semester/quarter hours.

Preferred Qualifications:

  • Work experience in a computing-related industry.

Application Instructions

Applications must be submitted online through the University of Chicago Jobs website: Review of applications will begin on July 1, 2022 and continue until the position is filled.

The following materials are required:

  • Cover letter detailing teaching experience and interests

  • Curriculum vitae

  • A list of three references, including name, title, employer/school and email address

  • At least three teaching evaluations from at least two distinct classes.

The University of Chicago is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

For help signing up, accessing your account, or submitting your application please check out Interfolio's help and support section or get in touch via email at or phone at (877) 997-8807.

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