Assistant Professor of Business Analytics – University of Alaska Anchorage
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Faculty Opportunity: Assistant Professor of Business Analytics – University of Alaska Anchorage
Institution: University of Alaska Anchorage (UAA)
Academic Unit / Department: Department of Management, Marketing, Logistics, and Business Analytics, College of Business and Public Policy
Job ID: 533489
Appointment Type: Full-Time, 9-Month, Tenure-Track Faculty
Academic Rank / Level: Assistant Professor
Specialization: Business Analytics / Data Science / Artificial Intelligence
Teaching Load: Three courses per semester
Salary / Remuneration: Competitive; exact salary amount not specified in the posting
Location: Anchorage, Alaska, United States
Work Mode: On-Campus
Application Deadline: November 20, 2026 at 11:55 PM Alaska Standard Time
Expected Start Date: August 2027
Visa Sponsorship: Not available
Overview of Role
The University of Alaska Anchorage invites applications for a tenure-track Assistant Professor of Business Analytics in the College of Business and Public Policy.
The position combines undergraduate and graduate teaching, scholarly research, student mentorship, and professional service. The successful candidate will teach courses in Business Analytics, Data Science, AI, and related areas while maintaining an active research program.
Key Responsibilities & Teaching Scope
Teach three courses per semester.
Teach undergraduate and graduate courses in:
Business Analytics
Data Science
Artificial Intelligence
Conduct scholarly research in areas such as:
Machine Learning
Data Mining
Predictive Modeling
Business Analytics
AI and Data Science
Mentor undergraduate and graduate students.
Contribute professional service to the university, academic discipline, and community.
Maintain an active research and publication agenda.
Qualifications & Candidate Profile
Required Qualifications:
Ph.D. in Business Analytics or Data Science.
Candidates with Ph.D. degrees in related fields may also be considered, including:
Computer Science
Mathematics
Machine Learning
Applicants from related disciplines should have relevant coursework and/or professional experience in Business Analytics, AI, Data Science, or related areas.
ABD candidates may be considered if the doctoral degree will be completed before the appointment date.
Business-related Ph.D. degrees should be from an AACSB-accredited institution.
Non-business Ph.D. programs should be from institutions with AACSB-accredited business programs or comparable accreditation such as ABET.
Preferred Qualifications:
Relevant industry experience in:
Business Analytics
Artificial Intelligence
Data Science
Related technical fields
Relevant academic coursework in these areas.
Strong technical and analytical skills.
Effective teaching and communication abilities.
Application Checklist & Required Documents
Cover Letter outlining:
Primary teaching areas
Secondary teaching areas
Current research
Planned research
Curriculum Vitae
Contact Information for Three Professional References
Graduate Transcripts
Unofficial transcripts accepted at application stage
Official transcripts required upon hire
List of Courses Taught in:
Business Analytics
Data Science
Artificial Intelligence
Related fields
Benefits
The University of Alaska offers eligible faculty:
Retirement options.
Faculty time off.
12 paid holidays annually.
Tuition waivers for employees and eligible family members.
Medical, dental, and vision insurance.
Full employee benefits package.
Application Process
Application Link: https://careers.alaska.edu/jobs/assistant-professor-of-business-analytics-anchorage-alaska-united-states
Application Deadline: November 20, 2026 at 11:55 PM Alaska Standard Time
Review of applications begins immediately.
Applicants must be legally authorized to work in the United States without restriction.
Candidates who currently require or may later require visa sponsorship are not eligible.
Contact: Abbie Shercliffe – aplampman@alaska.edu
Employment is contingent upon successful completion of a background check.
Official Website: https://careers.alaska.edu/
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