Assistant Professor - Network Science and Distributed Systems at University of Nebraska at Omaha in Omaha, Nebraska

Job Description:

The Department of Computer Science at the University of Nebraska at Omaha (UNO) invites applications for a tenure-track position at the rank of Assistant/Associate Professor. The department seeks candidates in the area of Network Science and Distributed Systems involving artificial intelligence, machine learning, data privacy, security as well as enterprise scale distributed, cloud, data Lakehouse infrastructures. Exceptional candidates in all areas of computer and data sciences are encouraged to apply. Candidates must have received a doctorate in Computer Science or a closely related field prior to the employment start date. Candidates should have potential to conduct high quality research, seek research grants, and be committed to excellence in teaching at both undergraduate and graduate levels across computer science and data science areas. The candidate is also expected to engage in interdisciplinary collaborations across the university. This is a full-time, benefits eligible position with an anticipated start date of August 2025.

The College of Information Science and Technology (IS&T) has two other units - the Department of Information Systems and Quantitative Analysis, and the School of Interdisciplinary Informatics. The college has significantly grown in the recent years through several high-quality faculty hires and provides a thriving collaborative research environment spanning several cross-cutting areas including cybersecurity, biomedical informatics, computing education, information management, and human-centered computing. The academic program portfolio of the college includes five undergraduate degree programs (Computer Science, Management Information Systems, Bioinformatics, Cybersecurity, IT Innovation) and five Master of Science degree programs (Computer Science, Management Information Systems, Cybersecurity, IT Innovation, CSEd). The college also hosts two innovative PhD programs in Information Technology and Biomedical Informatics.

Additional Duties: Participate in college and university level committees

Required Qualifications: Candidates must have received a doctorate in Computer Science or a closely related field prior to the employment start date. Candidates should have potential to conduct high quality research, seek research grants, and be committed to excellence in teaching at both undergraduate and graduate levels in computer science and cybersecurity areas.

To apply, please visit https://unomaha.peopleadmin.com/postings/20727. A full application, including cover letter, vita, teaching statement, DEI statement describing how you foster an inclusive and equitable learning environment for students from diverse perspectives, research statement, and contact information for 3 references is required for full consideration. Applications must be submitted directly through the UNO website to be considered for this position. Any applications submitted via email or this website will not be reviewed or considered. Review of applications will begin August 26, 2024 and will continue until the position is filled. To ensure full consideration, please apply by the review date.

Applications received after the review date may be considered. For questions about the position, please contact Dr. Mahadevan Subramaniam, Search Chair Manager, at msubramaniam@unomaha.edu.

The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. UNO is a VEVRAA Federal Contractor and an E-Verify employer.

Candidates must have received a doctorate in Computer Science or a closely related field prior to the employment start date. Candidates should have potential to conduct high quality research, seek research grants, and be committed to excellence in teaching at both undergraduate and graduate levels in data analytics and data engineering.

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