Careers at IS&T: ISQA Faculty
Looking for a fulfilling career in higher education? The University of Nebraska at Omaha College of Information Science and Technology Department of Information Systems and Quantitative Analysis has several faculty positions open.
- published: 2020/12/14
The College of Information Science & Technology (IS&T) at the University of Nebraska at Omaha invites applications for two tenure-track positions at the rank of Assistant/Associate Professor. The expected start date is Fall 2021. The positions are within the Department of Information Systems and Quantitative Analysis (ISQA) and are open to all research areas.
Candidates must possess an appropriate doctorate or ABD in Information Systems, or related disciplines including Information Technology, Information Science, Information and Communication Technology for Development, Human Centered Computing, Human Computer Interaction, or Information Management, from a nationally recognized program. A strong candidate will be a highly qualified teacher and researcher in the complex information environments that characterize today’s organizations and societies.
Position #1: Assistant/Associate Professor - Information Systems
Posting Number: 2020F-00185
Areas of research interest include digital transformation, digital development, data analytics, data engineering, organizational technologies, health informatics, human-computer interaction, and social computing. The candidate should possess strong teaching and technical expertise in areas such as human-computer interaction, information assurance, IT infrastructure, project management, or systems analysis, design, and development.
To apply for this position, go to https://unomaha.peopleadmin.com/postings/12169
Position #2: Assistant/Associate Professor - Information Systems
Posting Number: 2020F-00186
Areas of research interest include digital transformation, digital development, data analytics, data engineering, organizational technologies, health informatics, human-computer interaction, and social computing. The candidate should possess strong teaching and technical expertise in areas such as data analytics, data mining, and statistical machine learning.
To apply for this position, go to https://unomaha.peopleadmin.com/postings/12164
Review of candidate materials will begin on January 18, 2021 and will continue until positions are filled.
Questions? Please contact Dr. Martina Greiner (mgreiner@unomaha.edu), Dr. Paul van Vliet (pvvliet@unomaha.edu), or Human Resources.
Looking for other opportunities at IS&T? See our other postings here.