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 17 full-time tenured/tenure-track faculty members with diverse teaching and research interests, plus a number of teaching faculty. 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 a NEW faculty position!
The CIS Department at the University of Michigan - Dearborn is hiring for a faculty position in all areas of computer science, with a special emphasis on data science/management. The expected starting date is September 1, 2018.
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 a tenure-track assistant professor position in all areas of computer science, with a special emphasis on data science/management. The expected starting date is September 1, 2018. 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/management, energy-efficient systems, game design, graphical models, machine learning, multimedia, natural language processing, networking, security, 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, 2018. 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, curriculum vitae, statements of teaching and research interests, and a list of three references through Interfolio at:
Review of applications will begin immediately and continue until suitable candidates are appointed.
Currently this classification is considered exempt in compliance with the Fair Labor Standards Act (FLSA).
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.
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.
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.
Sami Ben-Romdhane, VP & Fellow, eBay Nada Jiddou, Sr. Manager, Ford Motor Company Ravi Bhadange, Manager, Bosch Ben Patel, Chief Technologist, EDS Steve Brennan, VP, Carhartt, Inc. Keshav Rakshit, Senior Architect, IBM Jacob Crossman, CTO, Soar Automotive Yuri Siradeghyan, Folger Hill Asset Management Conrad Foster, Partner, CNE Technologies Andre Weimerskirch, VP, Lear Corporation Richard Frost, Manager, General Motors