Computer and Information Science (CIS) is one of the most rapidly growing professions worldwide.

CIS professionals offer expertise in the effective and efficient use of computer systems for tackling a broad spectrum of practical challenges emerged from all the aspects of our society. The CIS curriculum provides students with broad and deep knowledge and skills on computer systems and their applications. Currently, the CIS Department offers four B.S. degree programs, three M.S. degree programs, and one Ph.D. degree program to fulfill students’ diverse career aspirations in CIS and its applications.

The CIS department currently has 16 full-time tenured/tenure-track faculty members with diverse teaching and research interests, plus a number of full-time/part-time teaching faculty. Some of our faculty members are also affiliated with interdisciplinary research groups/institutes such as the Michigan Interactive and Social Computing (MISC), the Michigan Institute for Data Science (MIDAS), and the UM Transportation Research Institute (UMTRI) in the University of Michigan system. The department prides itself on its faculty members who have been recognized with numerous academic awards/honors in their respective fields. Our outstanding graduates have attained positions in industry, education, government, and non-profit organizations locally and worldwide.

APPLICANTS: We are hiring for multiple NEW faculty positions!

The CIS Department at the University of Michigan - Dearborn is hiring for multiple new faculty positions in all areas of computer science, with special emphasis on software engineering, computer systems (e.g., distributed systems), data science/AI/machine learning, and data management. The expected starting date is September 1, 2019.

  • Click here for MORE DETAILS about the new faculty positions

            CIS Department at the University of Michigan - Dearborn is Hiring

    Job Description: Assistant Professor in Computer and Information Science (CIS)

    The CIS Department at the University of Michigan - Dearborn invites applications for multiple tenure-track assistant professor positions in all areas of computer science, with special emphasis on software engineering, computer systems (e.g., distributed systems), data science/AI/machine learning, and data management. The expected starting date is September 1, 2019.  Although candidates at the Assistant Professor rank are preferred, exceptional candidates may be considered for the rank of Associate Professor depending upon experience and qualifications. We offer competitive salaries and start-up packages.

    The CIS Department offers several B.S. and M.S. degrees, and a Ph.D. degree. The current research areas in the department include artificial intelligence, computational game theory, computer graphics, data science, data management, energy-efficient systems, game design, graphical models, machine learning, multimedia, natural language processing, networking, security, service and cloud computing, software engineering, and wearable sensors and health informatics. These areas of research are supported by several established labs and many of these areas are currently funded by federal agencies and industries.


    Qualified candidates must have earned a Ph.D. degree in computer science or a closely related discipline by September 1, 2019.  Candidates will be expected to do scholarly and sponsored research, as well as teaching at both the undergraduate and graduate levels.


    Applicants should send a letter of intent, indicating which one of the following four areas fits you the best: (1) software engineering; (2) computer systems; (3) data science/AI/machine learning; (4) data management or other areas. You should also submit a curriculum vitae, statements of teaching and research interests, evidence of teaching performance (if any), and a list of three references through Interfolio at: 

    Review of applications will begin immediately and continue until suitable candidates are appointed.

    The University of Michigan - Dearborn, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University of Michigan is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, height, weight, or veteran status in employment, educational programs and activities, and admissions. Inquiries or complaints may be addressed Office of Institutional Equity, 4901 Evergreen Road, Suite 1020, Administrative Services Building, Dearborn, Michigan 48128-1491, 313-593-5190. For other University of Michigan information call 734-764-1817.

    Background Screening

    The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.

Advisory Board

The Department continually seeks outside interactions with business, industries, and government through its Professional Advisory Board (PAB). The PAB is composed of senior computing technologists and industry leaders who provide valuable input and advice on curriculum development, potential employment for students, research opportunities for faculty, and a perspective on future challenges requiring collaboration. 

  • Meet our advisory board members
    Sami Ben-Romdhane, VP & Fellow, eBay Peter Gulisano, Sr. Manager, General Motors
    Ravi Bhadange, Manager, Bosch Nada Jiddou, Sr. Manager, Ford Motor Company
    Steve Brennan, VP, Carhartt, Inc. Ben Patel, Chief Technologist, EDS
    Jacob Crossman, CTO, Soar Automotive Keshav Rakshit, Senior Architect, IBM
    Conrad Foster, Partner, CNE Technologies Yuri Siradeghyan, Folger Hill Asset Management
    Richard Frost, Global Director, General Motors Andre Weimerskirch, VP, Lear Corporation



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Average class size: 26. Almost 70% of all classes have less than 30 students.

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