Assistant Professor, Computer Information Science

Job Description

All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).
Working Title:
Assistant Professor, Computer Information Science (AA28030)
Institution:
Minnesota State University, Mankato
Classification Title:
State University Faculty
Bargaining Unit / Union:
209: Inter Faculty Organization
City:
Mankato
FLSA:
Job Exempt
Full Time / Part Time:
Full time
Employment Condition:
Unclassified - Unlimited Academic
Salary Range:
$64,963.00 - $193,146.00
Salary Type:
Depends on qualifications
Application Deadline:
Review of applications will begin on November 12, 2026 and continue until the position is filled.
Position:
Tenure-Track (Probationary*)
Job Duties
The department of Computer Information Science at Minnesota State University, Mankato invites applications for a probationary, Assistant 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.
The successful candidate will be responsible for teaching undergraduate and/or 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.
All faculty members are expected to engage in scholarly or creative activity or research, continuing preparation and study, contribute 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
)
This position will advise undergraduate and graduate students in majors offered by the Computer Information Science Department.
The successful candidate will demonstrate a commitment to active, applied learning and developing innovative ways to support learning, including project-based teaching pedagogies.
The successful candidate will be knowledgeable about current industry trends and emerging research.
This position will advise and mentor students, including graduate-level theses and other capstone papers.
Minimum Qualifications
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.
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.
Preferred Qualification
Demonstrated experience fostering an inclusive, equitable, and respectful environment while working effectively with individuals from diverse backgrounds.
Demonstrated effective written, oral communication and presentation skills
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 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.
Application Procedures:
A complete online application will include the following attachments. Incomplete applications will not be reviewed by the search committee.
Cover Letter
Non-Photo Resume/Curriculum Vitae
Contact Information for three (3) references
Unofficial Transcript(s) of your highest completed degree
A brief (no more than one-page) response to the following: Provide a specific example from your professional or academic experience that demonstrates your ability to work effectively with individuals from a wide range of diverse backgrounds. In your response, describe the actions you took to foster an environment that was inclusive, respectful, and equitable for all. What was the outcome, and what did you learn from the experience?
A one (1) page statement of your teaching philosophy, including your experience or familiarity with the use of active learning, project-based learning, and/or experiential learning
A one (1) page statement of your research/scholarly interests
Evidence of successful teaching, such as teaching evaluations
CONTACT INFORMATION:
Sarah Kruse
Computer Information Science
Minnesota State University, Mankato
273 Wissink Hall
Mankato, MN 56001
Phone: 507-389-1412
TTY: 800-627-3529 or 711
Email:
CIS-chair@mnsu.edu
Other Requirements
The University may be able to provide employment visa sponsorship for qualified candidates, subject to USCIS guidelines and eligibility requirements.
Work safely at all times, which includes but is not limited to, participating and completing all required safety trainings, as well as performing all job tasks in accordance with Minnesota State University, Mankato policies and procedures utilizing appropriate tools, equipment and personal protective equipment.
The Minnesota State University, Mankato Annual Security and Fire Safety Report is available for your review. This report is required by federal law and contains policy statements and crime statistics for the University. The policy statements address the school's policies, procedures and programs concerning safety and security. Three years' worth of statistics are included for certain types of crimes that were reported to have occurred on-campus, or in other University affiliated locations. This report is available online at:
http://mankato.mnsu.edu/safety/
. You may also request a paper copy from University Security at 507-389-2111, or by emailing
security@mnsu.edu
.
Additional Information
The Department of Computer Information Science is comprised of 17 full-time faculty members actively engaged in teaching, research, professional development, and service. The department offers undergraduate majors in Computer Science, Management Information Systems, Computer Information Technology, Software Engineering, and Health Informatics; master's degrees in Information Technology, Data Science, Health Informatics and Analytics, and Artificial Intelligence; and minors and certificates for students with varying interests and backgrounds.
Applications from qualified candidates who are currently in, or have prior experience in, industrial positions are welcome. Appropriate weighting will be given to all candidates for demonstrated success in teaching and research in industrial settings.
Additional information on Minnesota State University, Mankato can be found at:
www.mnsu.edu
*The salary range denoted above is the contractual range; however, salary upon hire is dependent upon qualifications and experience.
University Demographics
Minnesota State University, Mankato is a member of the Minnesota State system. Minnesota State has established a strategic vision, Equity 2030, which aims to close the educational equity gaps across race and ethnicity, socioeconomic status, ability, and geographic location by the end of the decade at every Minnesota State college and university and to provide an opportunity for all Minnesotans to create a better future for themselves, for their families, and for their communities. The focus of the work includes:
· Enhancing access and student success.
· Providing Minnesota with the talent it needs.
· Anchoring the communities and regions we serve.
Equity 2030 seeks to bridge efforts occurring within divisions and institutions, creating an intentional statewide culture of equity-minded collaboration and resulting in equitable practice embedded throughout our institutions. The full Equity 2030 plan is linked here:
https://www.minnstate.edu/Equity2030/index.html
.
Destination 2030
, the University's strategic plan announced by President Edward Inch in August 2023, commits the University to making transformative strides in four main areas: being a lifelong provider of access to an equitable and affordable education; being a leader in transformational learning generating inspired action; being a nimble and innovative steward of resources; and being a community of care built upon diversity, inclusion, and belonging. We seek to attract teacher-scholars who will be culturally and academically diverse faculty members, and staff with a demonstrated commitment to creating an inclusive learning and working environment. Minnesota State Universit