Description

The College of Business invites applications for a full-time (1.00 FTE), 9-month, tenure-track Assistant, or tenured Associate or Full Professor in Business Analytics to begin on September 16, 2026.

Assistant Professor rank is anticipated; however, appointment at a promoted rank may be considered depending upon the qualifications of the successful candidate.

Any hiring at the rank of Associate Professor/Professor with indefinite tenure will be subject to a successful out-of-cycle tenure review process: https://academicaffairs.oregonstate.edu/resources-policies-legislation/policies-and-resources/promotion-and-tenure-guidelines/out-cycle.

Position responsibilities include but are not limited to establishing and maintaining a strong program of research resulting in top peer-reviewed journal publications, teaching undergraduate and/or graduate courses, and providing service to the college, university, and academic discipline. Service requirements are greater at the Associate and Full Professor ranks.

The College of Business is committed to maintaining and enhancing its diverse and collaborative community that strives for equity and inclusivity. All faculty and staff members are responsible for helping to ensure that these goals are achieved and should be able to demonstrate contributions to diversity, equity, and inclusion. Such contributions can be part of teaching, advising, research, service, and/or professional development. Outputs and impacts of these efforts to promote belonging, equal access, and fairness will be included in annual performance reviews and promotion and tenure dossiers.

Special Instructions to Applicants:

To apply, applicants must their application through Oregon State University’s online application system located at https://jobs.oregonstate.edu/postings/173437 (posting # P09483UF). For full consideration, applicants must apply by November 28, 2025. Applications will continue to be accepted after the full consideration date, until a sufficient applicant pool has been achieved or the position is filled. The closing date is subject to change without notice to applicants.

Candidates should submit curriculum vitae with names and contact information for three professional references and cover letter indicating how your qualifications and experience have prepared you for this position. OSU is an AA/EOE/Vets/Disabled.

Requirements

Minimum Qualifications:

• Doctorate in Business Analytics, Information Systems, or a closely related business discipline from an AACSB-accredited institution or equivalent. Candidates with doctorates in Computer Science, Data Science, Statistics, or Information Science must demonstrate a sustained record or clear potential for business-school aligned research and teaching suitable for AACSB faculty qualification.
• Evidence of, or potential and motivation for, research excellence with a pipeline targeting high-quality business journals in IS/OM/Analytics and related areas.
• Evidence of teaching effectiveness and commitment to excellence in inclusive teaching and student success.
• Demonstrated commitment to educational equity and a commitment to advancing the participation of diverse groups and supporting diverse perspectives.
• Ability to contribute to a congenial and inclusive work culture.
• For the Associate and Full Professor rank, applicants must hold a similar rank with tenure with an appropriate record of research excellence in leading peer-reviewed journals.

For the Associate Professor rank, applicants must also show evidence of:

• An appropriate record of scholarship, including scholarly publication in premier peer-refereed journals;
• Sustained effectiveness in teaching, advising, service and other assigned duties.
• Increasing leadership roles in institutional and professional service.

For the Full professor rank, applicants must show evidence of:

• Distinction and sustained effectiveness in teaching, advising, service and other assigned duties, curricular development, awards and recognition;
• Distinction in scholarship, as evidenced in scholarly publication in premier peer-refereed journals, including wide recognition and significant contributions to the field or profession;
• Exemplary institutional and professional service and leadership, and an appropriate balance between the two.

Preferred Qualifications:

• Research interests and/or publications in the areas of Agentic AI, business analytics, human computer interaction, information analysis, IT strategy, social media, impact of IT.
• Demonstrated experience and competence in teaching at the university level, especially in the areas of Business Programing, AI in Business, Business Analytics, Machine learning/Deep Learning, LLMs, Social impact of AI.
• Experience in teaching Master’s level courses.
• Demonstrated ability and commitment to adopt an inclusive approach to teaching.
• Demonstrated ability to work independently and collaboratively in scholarly pursuits.
• Relevant professional non-academic work experience.