A resume/curriculum vita (CV), a cover letter, and a statement of teaching philosophy are required for consideration for this position. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. The statement of teaching philosophy should include the applicant's vision related to modern teaching practices, student success, use of modern tools and technologies, student mentorship and growth, and reflections on lessons learned from past teaching practices.

The review of applications will start immediately, with a decision expected by March 30, 2025. Hiring decisions require approval from the College's Executive Committee.

The Department of Computer & Information Science (CIS) invites applications for a LEO Lecturer III position, starting August 27, 2025.

Responsibilities include teaching undergraduate and graduate courses in computer & information science as well as limited administrative duties in support of the department's programs. The full teaching load (100% effort) will be 12 credit hours during the academic year (Fall and Winter semesters). A reduction in teaching load may be offered to account for service and other assigned administrative duties, which include service to the department and the college, including mentorship and supervision of student professional societies.

The Department of Computer & Information Science (CIS) currently enrolls over 1,300 students and offers educational programs, from undergraduate to Ph.D. levels, in the areas of artificial intelligence, computer & information science, cybersecurity, data science, and software engineering. The Department has 22 full-time faculty members and expects a period of dynamic growth with active strategic hiring over the next several years. The College of Engineering and Computer Science offers model educational facilities, well equipped laboratories, modern classrooms, and informal student collaborative spaces. The College employs a practice-based learning approach integrated with entrepreneurial-minded learning, and places strong emphasis on student experience and success. The Department and College are committed to the development and growth of a faculty body that thrives professionally and contributes to a positive student learning environment. 

A successful candidate must have:

• A Ph.D. in Computer and Information Science or Mathematics with a focus on cryptography or cybersecurity.
• Prior university teaching experience teaching core courses related to the position as well as other courses in the programs offered by the department.
• A record of research and/or work experience in cryptography or cybersecurity.

Professional experience, such as postdoctoral training or industry experience, is highly desirable for the integration of project-based learning into the curriculum.

The University of Michigan-Dearborn (UM-Dearborn) is one of the three campuses of the University of Michigan. UM-Dearborn, a comprehensive university offering high quality undergraduate, graduate, professional and continuing education to residents of southeastern Michigan, and attracts over 8,000 students. Our faculty place emphasis on student achievements and success, are recognized for excellence in research and teaching, and are active in professional and academic service roles in their respective fields. US News and World Report has consistently ranked UM-Dearborn among the best universities in the Midwest and a top-ranked regional university in Michigan.

The campus is located on 200 acres of the original Henry Ford Estate. Dearborn is centrally located within one of America's largest business regions. The geographically diverse area provides faculty with a variety of urban, suburban, and rural areas within a reasonable commute, including Detroit, Detroit suburbs, and Ann Arbor.

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 are performed in compliance with the Fair Credit Reporting Act.

The University of Michigan is an equal opportunity/affirmative action employer.