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Assistant Professor - Computer, Information, and Data Sciences
University of Wisconsin River Falls
Details
Posted: 22-Nov-24
Location: River Falls, Wisconsin
Internal Number: 10476
Appointment Type: Faculty
FTE: 100
Position Summary:
The Department of Computer, Information, and Data Sciences (CIDS) in the College of Arts and Sciences at the University of Wisconsin-River Falls is seeking a faculty member with expertise in applied Artificial Intelligence, Computing and Business. Candidates will be considered for a tenure-track position at the Assistant Professor level starting August 2025 (preferred) or January 2026. Exceptional candidates with significant records of scholarship and teaching activity will be considered for hire at the Associate Professor level. The successful candidate will show excellent communication skills and the ability to teach undergraduate and graduate courses for the CIDS department and the School of Business and Economics.
The qualified candidate should have a Ph.D. in Computer Science, Information Systems, Data Science or a related area (ABD with confirmed completion date prior to start of employment will be considered) and will be expected to teach AI integrated courses at the undergraduate and graduate levels in both Computer Science and Business, develop curricula and assessment, maintain an active AI-related research agenda, advise graduate and undergraduate majors, and provide service to both the university and the profession. Other teaching responsibilities will depend on expertise and departmental needs. Experience or interest in writing and submitting grant requests is a plus.
Knowledge, Skills and Abilities:
Required Qualifications:
- Education: Doctorate in Computer Science, Information Systems, Data Science or a related area from an accredited institution (ABD with confirmed completion date prior to start of employment Ability to teach courses in the foundations and applications of Artificial Intelligence at the undergraduate and graduate level for the Department of Computer, Information, and Data Sciences, and AI-infused Business courses at the graduate or undergraduate level for the School of Business and Economics
- Evidence of teaching effectiveness indicated by the candidate's CV and/or teaching statement
- Commitment to research and scholarly activities that can result in peer-reviewed publications as evidenced by the candidate's CV and research statement
- Commitment to collaboration across disciplines and with external partners
Preferred Qualifications:
The candidate's CV, teaching statement, and/or research statement provides evidence of the following:
- Ability to teach an array of undergraduate and graduate classes in Computer Science, Information Systems, and/or Data Science
- Experience teaching Business courses at the undergraduate or graduate level
- Experience or interest in writing and submitting grant proposals
- Experience in academic advising of undergraduate students
- Experience or interest in supervising undergraduate and graduate research
- Commitment to best teaching practices such as giving prompt and detailed oral and written feedback to students
- A record of successful collaboration across disciplines or with external partners
Special Instructions to Applicants:
Applicants are required to apply online. UWRF will not consider paper, emailed or faxed applications. Applicants are required to provide:
- Curriculum Vitae
- Unofficial Transcripts
- Letter of interest specifying qualifications and experience (Cover Letter)
- Teaching philosophy, which should address your approach to teaching to a diverse student population (Other Document)
- Research Statement (Research Statement)
- Names, addresses, telephone numbers and email addresses of at least three references who can specifically comment upon your teaching ability, experience and professional preparation (References)
Inquiries should be addressed to:
Jacob Hendricks
Jacob Hendricks
Associate Professor and Search Chair
Deadline to Apply: Initial review of applications will begin upon receipt. For full consideration, applicants should submit all required materials on or before January 30, 2025.
Employees receive excellent benefits including exceptionally low-cost comprehensive health, dental and vision benefits; employer match of Wisconsin Retirement System contributions of 6.95%; an attractive amount of paid leave per year in addition to paid sick leave. To learn more about our benefits, go to:https://www.wisconsin.edu/ohrwd/benefits/download/quickguidefasl.pdf
About University of Wisconsin River Falls
Our mission is to help prepare students to be productive, creative, ethical, engaged citizens and leaders with an informed global perspective.
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