Assistant Professor of Information Systems & Business Analytics (AI)

Position Details

Position Information

About Hofstra

At Hofstra University, intellectual curiosity is not just aspirational - it is central to how we engage on a daily basis. Hofstra faculty work within a diverse scholarly community committed to student success, intellectual discovery, free inquiry, inclusivity, and collaboration.

Enrolling more than 10,000 students, Hofstra offers students an array of undergraduate and graduate academic programs spanning the arts, humanities, sciences, business, engineering, law, health care, communications, and more.

Our accomplished faculty collaborate with students to explore interdisciplinary questions and produce innovative research that lays the foundation for future personal and professional success. With a beautiful campus in Hempstead, NY, Hofstra's location seamlessly merges the tranquility of coastal suburban living with the boundless opportunities of nearby New York City.

Hofstra University is dedicated to recruiting and retaining a highly qualified and diverse academic community of students, faculty, staff, and administrators respectful of the contributions and dignity of each of its members. We welcome applications from individuals of all backgrounds and experiences and are committed to building a diverse and inclusive community.

Position Title Assistant Professor of Information Systems & Business Analytics (AI) Position Number 896256 Position Category School/Division School of Business Department Full-Time or Part-Time Full-Time Description

The Frank G. Zarb School of Business at Hofstra University invites applications for a tenure-track Assistant Professor of Information Systems & Business Analytics with an emphasis on Artificial Intelligence, beginning Fall 2027. We seek a candidate specializing in artificial intelligence in business and organizations. Areas of particular interest include enterprise and agentic AI, human-AI collaboration, and responsible AI.

The Zarb School of Business is recognized for its high-quality undergraduate and graduate programs, including a nationally ranked Online MBA program and an Executive MBA program. The Department of Information Systems and Business Analytics offers BBA/MBA/MS programs in Information Systems, Business Analytics, Cybersecurity Management, and Business Operations & Healthcare Analytics. A proposed Doctor of Business Administration in Cybersecurity Management program is under review. For information about our programs and resources, our faculty, and our students, applicants are encouraged to visit the department website: https://www.hofstra.edu/info-systems-business-analytics/

Responsibilities include, but are not limited to:

• Teach undergraduate and graduate courses in information systems and business analytics, including business statistics and AI-related courses and contribute to curriculum development. Teaching assignments will reflect the candidate's expertise and departmental needs.
• Publish scholarly research in high-quality academic journals.
• Contribute to departmental, school, and university service, including committee work and student engagement activities.

Qualifications

• An earned doctorate in information systems, business analytics, decision sciences, or a closely related discipline from a university with an AACSB-accredited business school or equivalent accreditation. ABD candidates will be considered, provided the doctorate is expected to be completed by the start of the appointment.
• Strong evidence of potential for publication in high-quality peer-reviewed journals and a coherent research agenda relevant to artificial intelligence in business and organizations
• Evidence of high-quality teaching or strong potential for teaching excellence with excellent communication skills, including the ability to teach business statistics at the undergraduate and graduate levels
• Strong desire to work in a collaborative environment, support our students through the mentoring process, and serve the Hofstra community.

Preferred Quals Summary

• The ability to contribute to core information systems teaching, such as systems analysis and design or database management, is preferred. Applied analytics and machine-learning expertise relevant to the candidate's research and teaching, including experience with computational tools such as Python or R, is desirable. Interest in interdisciplinary collaboration and experiential learning is also preferred.

Special Instructions

To submit your application for consideration, please provide the following:

• Cover letter addressing research interests and teaching qualifications
• Curriculum vitae
• Two sample publications or working papers
• Research statement
• Teaching statement
• Recent teaching evaluations (if available)
• Unofficial Academic Transcripts
• Names and contact information for three references

Applications received by November 8, 2026, will receive full consideration. Review of applications will begin promptly thereafter and continue until the position is filled. Inquiries should be directed to Dr. Hak J. Kim (hak.j.kim@hofstra.edu).

Deadline Open until filled Tenure Track Yes Date Posted 10/14/2026 EEO Statement

Hofstra University is an equal opportunity employer and is committed to extending equal opportunity in employment to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national or ethnic origin, physical or mental disability, marital or veteran status or any other characteristic protected by law.

Salary/Salary Range $165,000-$175,000

Additional Information

Hofstra University provides the above salary* as a good faith estimate of the starting pay range which considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and education. In addition to the salary offered, we offer a collegial and inclusive culture, and a benefits program which includes generous paid time off, paid holidays, tuition remission for employees and eligible dependents, and a retirement plan with University contributions.

• Salary ranges indicated for positions covered under a Collective Bargaining Agreement are in accordance with the CBA.

Documents needed to apply

Required Documents

• Transcripts
• Curriculum Vitae
• References
• Statement of Teaching Philosophy
• Sample Publications
• Description of Research Interests/Projects
• Cover Letter

Optional Documents

• Evidence of Effectiveness as an Educator

Supplemental Questions

Required fields are indicated with an asterisk (*).