Assistant Professor, Computer Information Science - Ifo (aa27054)
Minnesota State University, Mankato
Mankato, MN, US
$64,963.00 - $188,620.00; depends on qualification...
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Doctoral degree in a related field
Foster inclusive and equitable environment
Teach undergraduate and graduate courses
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Minnesota State University, Mankato is seeking an Assistant Professor in Computer Information Science to begin in August 2026. The role involves teaching, research, and active participation in departmental activities to enhance student engagement and program success.
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Job Summary
The department supports undergraduate and graduate programs in Computer Information Science, Computer Science, Management Information Systems, Data Science, and Artificial Intelligence.
Responsibilities include teaching, advising, professional development, scholarly activity, and active participation in departmental committee work and curriculum design.
The university offers a comprehensive benefits package including paid holidays, vacation, sick time, parental leave, and low-cost medical and dental insurance.
Matching Summary
Match Score: 75
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Minnesota State University, Mankato is seeking an Assistant Professor in Computer Information Science to begin in August 2026. The role involves teaching, research, and active participation in departmental activities to enhance student engagement and program success.
**
Salary
$64,963.00 - $188,620.00; Depends on qualifications; Not specified
Skills & Requirements
Must-have
Doctoral degree in a related field
Foster inclusive and equitable environment
Teach undergraduate and graduate courses
Conduct research and mentor students
Develop innovative teaching strategies
Nice-to-have
Knowledge of current industry trends
Experience with project-based pedagogies
Grant writing and external funding development
Key Requirements
Doctoral degree in Computer Science, Computer Information Science, Data Science, Information Technology, Management Information Systems, or a closely related field
Demonstrated ability to work effectively with diverse backgrounds
Ability to teach advanced topics in database, data analytics, computer architecture, cloud computing, information security, network architecture, data engineering, computer vision, deep learning, or natural language processing