Tenure-Track Professor: Applied AI & Business Analytics

Florida Atlantic University

Boca Raton (FL)

On-site

USD 70,000 - 110,000

Full time

27 hours ago
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Job summary

Florida Atlantic University’s IT & Operations Management Department in the College of Business invites applications for a tenure-track Assistant Professor in Applied AI & Business Analytics starting Fall 2027. The successful candidate will teach AI, analytics, and MIS to undergraduate and graduate cohorts, maintain an ongoing research program, and contribute to service activities.

The appointment emphasizes scholarly output in Information Systems and related business journals.

Qualifications

  • Doctorate in Applied Artificial Intelligence, Business Analytics, MIS, or related field from AACSB-accredited university.
  • Demonstrated record of quality scholarly research in peer-reviewed journals and conferences.
  • Demonstrated teaching excellence as instructor of record at an AACSB or similar university.
  • Certification or experience in online teaching preferred.
  • Interests focused on Applied AI and Business Analytics; related areas considered.
  • Related industry experience is strongly desired.

Responsibilities

  • Teach AI, Business Analytics, and MIS courses for undergrad and grad programs (MBA and doctoral).
  • Maintain an active program of research and publish in top-tier IS and related journals.
  • Provide service to department, college, university, community, and profession.

Skills

Research publications
Teaching excellence
Online teaching
Industry experience

Education

Doctorate in Applied AI / MIS / Business Analytics

Job description

Florida Atlantic University’s IT & Operations Management Department in the College of Business invites applications for a tenure-track Assistant Professor in Applied AI & Business Analytics starting Fall 2027. The successful candidate will teach AI, analytics, and MIS to undergraduate and graduate cohorts, maintain an ongoing research program, and contribute to service activities.

The appointment emphasizes scholarly output in Information Systems and related business journals.

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