Job description
River Falls, WI
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
How to apply
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
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/quickg uidefasl.pdf
We are committed to creating an educational community which enhances student awareness and appreciation of diverse ethnicities and cultures and which actively supports tolerance, civility and respect for the rights and sensibilities of each person without regard to economic status, ethnic background, political views, sexual orientation, or other personal characteristics or beliefs. Awareness of and sensitivity to diverse ethnic and cultural heritages are especially sought in applicants.
UW-River Falls is an equal opportunity, affirmative action employer subject to all state and federal regulations pertaining to non-discrimination based upon sex, gender identity or expression, sexual orientation, race, color, national origin, religion, disability, marital status, age, arrest and/or conviction record, veteran status, and membership in the national guard, state defense force, or any other reserve component of the military forces of the United States or the State of Wisconsin. All persons, especially women, persons of color, people with disabilities and protected veterans are encouraged to apply. Employment is subject to federal laws that require verification of your identity and legal right to work in the United States as required by the Immigration Reform and Control Act.
For a copy of UW-River Falls campus safety information see http://www.uwrf.edu/Police/CampusRecordsCrimes.cfm or call Public Safety at (715) 425-3133 for a paper copy. This material includes crime statistics (Annual Security Report) and information on crime prevention, sexual assault and drug/alcohol issues.
