Assistant Professor, Computer Information Science - IFO (AA27054)

Minnesota State Colleges and Universities • Mankato, MN

3d

About The Position

The department of Computer Information Science at Minnesota State University, Mankato invites applications for a probationary, Assistant/Associate Professor beginning August 17, 2026. This position supports the undergraduate and graduate programs in the Department of Computer Information Science at Minnesota State University, Mankato. Responsibilities include, but are not limited to, teaching undergraduate and graduate courses for the Computer Information Technology, Computer Science, Management Information Systems, Data Science, and Artificial Intelligence programs. Candidates must demonstrate motivation and expertise to support quality teaching, advising, professional development, and funded scholarly activity. The successful candidate will also actively participate in departmental committee work, curriculum design, assessment, and help create innovative strategies for student recruitment, retention, and program completion. A typical faculty workload responsibility may include up to twenty four (24) credits of instruction per academic year. The successful candidate may need to teach in other areas as assigned and qualified. May be expected to develop and deliver face-to-face, hybrid, and on-line instruction at the Mankato campus, online, and/or at the university’s additional locations, as assigned. The successful candidate will collaborate with colleagues in curriculum design, instruction and evaluation, conduct research productively and mentor students in research, help create innovative strategies for student recruitment, retention, and completion, and may be expected to develop external grant funding opportunities. All faculty members are expected to engage in scholarly or creative activity or research, in continuing preparation and study, in contributing to student growth and development, and in providing service to the university and community (See Article 22 and Appendix G of the IFO Master Agreement) The successful candidate may need to teach undergraduate and graduate courses in advanced database, advanced data analytics, computer architecture, cloud computing, information security, network architecture, data engineering, computer vision, deep learning, or natural language processing, or other areas as assigned and qualified. The successful candidate will demonstrate a commitment to active, applied learning and developing innovative ways to support learning, including project-based teaching pedagogies. Faculty will be knowledgeable about current industry trends and emerging research. This position will advise and mentor students, including graduate-level theses and other capstones papers.

Requirements

• Doctoral degree in Computer Science, Computer Information Science, Data Science, Information Technology, Management Information Systems, or a closely related field conferred on an official transcript by the date of appointment.
• Demonstrated ability to work effectively with individuals from a wide range of diverse backgrounds and to foster a professional environment that is inclusive, respectful, and equitable for all.

Nice To Haves

• Ability to teach a variety of topics at the undergraduate and graduate level in advanced database, advanced data analytics, computer architecture, cloud computing, information security, network architecture, data engineering, computer vision, deep learning, or natural language processing.
• Demonstrated commitment to active, applied learning and developing innovative ways to support learning, including project-based teaching pedagogies.
• Demonstrated experience fostering an inclusive, equitable, and respectful environment while working effectively with individuals from diverse backgrounds.
• Demonstrated success or strong potential for productivity in research, grant writing, creative activity and scholarship.
• Ability & willingness to advise and mentor students, including graduate-level thesis and other capstone papers.
• Demonstrated effective written, oral communication and presentation skills.

Responsibilities

• Teaching undergraduate and graduate courses for the Computer Information Technology, Computer Science, Management Information Systems, Data Science, and Artificial Intelligence programs.
• Demonstrate motivation and expertise to support quality teaching, advising, professional development, and funded scholarly activity.
• Actively participate in departmental committee work, curriculum design, assessment, and help create innovative strategies for student recruitment, retention, and program completion.
• Teach in other areas as assigned and qualified.
• Develop and deliver face-to-face, hybrid, and on-line instruction at the Mankato campus, online, and/or at the university’s additional locations, as assigned.
• Collaborate with colleagues in curriculum design, instruction and evaluation, conduct research productively and mentor students in research, help create innovative strategies for student recruitment, retention, and completion, and may be expected to develop external grant funding opportunities.
• Engage in scholarly or creative activity or research, in continuing preparation and study, in contributing to student growth and development, and in providing service to the university and community
• Teach undergraduate and graduate courses in advanced database, advanced data analytics, computer architecture, cloud computing, information security, network architecture, data engineering, computer vision, deep learning, or natural language processing, or other areas as assigned and qualified.
• Demonstrate a commitment to active, applied learning and developing innovative ways to support learning, including project-based teaching pedagogies.
• Advise and mentor students, including graduate-level theses and other capstones papers.

Benefits

• Our generous benefits include 11 paid Holidays, Vacation Time, Sick Time, six weeks of Paid Parental Leave, low cost medical and dental insurance with low deductibles ($250 - $1500), a Pension Plan, 457(b) and 403(b) retirement plans and other retirement investment options, pre-tax medical and dental expense (with roll-over option) and dependent care accounts, employer paid life insurance, short and long term disability, as well as professional development and a tuition waiver program for employees and their dependents, etc.
• We promote the health and well-being of our employees and take work/life balance seriously.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree