"Assistant Professor of Information Systems"

Position Title:

Assistant Professor of Information Systems

School/Division:

School of Business

Full Time/Part Time:

Full-Time

Description:

The Frank G. Zarb School of Business is inviting applications for an anticipated tenure-track Assistant Professor position in Information Systems (IS) beginning in the fall of 2026. We are seeking a candidate whose primary area of teaching and research is in the field of Information Systems. Our ideal candidate will demonstrate a strong interest in teaching in areas related to Artificial Intelligence and/or Analytics, broadly defined.

The Department of Information Systems and Business Analytics (ISBA) in the Frank G. Zarb School of Business at Hofstra University offers BBA/MBA/MS programs in Information Systems, Cybersecurity Management, Business Analytics, and Business Operations & Healthcare Analytics. Supporting this academic mission, the Cybersecurity Innovation and Research Center, established in 2019, is a collaborative initiative between the Frank G. Zarb School of Business and the Fred DeMatteis School of Engineering and Applied Science. The Center features a 1,000-square-foot facility outfitted with state-of-the-art security technologies and tools. 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:

• Primarily teach courses in information systems, including IS fundamentals, business applications (i.e., C++, Java, Python, XHTML), database management, system analysis and design, artificial intelligence (AI), computer networking at the undergraduate and graduate levels.
• Show evidence or potential of performing high-impact scholarly activities in the aforementioned areas by publishing in peer-reviewed journals and presenting at academic conferences.
• Perform other related duties as assigned by the department and school, such as committee(s) and student orientation.

Qualifications:

• An earned doctorate (or ABD) in information systems, computer science, or a closely related discipline from an AACSB-accredited institution is required.
• Demonstrated the ability to publish in respected peer-reviewed journals
• Demonstrated evidence or potential to teach both in-person and online courses with excellent communication skills
• A strong desire to work in a collaborative environment, support our students through the mentoring process, and serve the Hofstra community.

Preferred Qualifications:

• Preference will be given to individuals who are pushing the boundaries in exciting, interdisciplinary areas at the intersection of business, machine learning, and human-centered artificial intelligence. We strongly encourage such candidates to apply.