*Tenure-Track: Assistant Professor, Information, Technology & Operations, Gabelli School of Business

Expertise aligns with the Gabelli School's strategic initiatives in artificial intelligence and emerging technology. The Information, Technology, and Operations (ITO) Area at the Gabelli School of Business at Fordham University invites applications for a tenure-track Assistant Professor position beginning in Fall 2027.

About the role

The successful candidate will develop and sustain a high-impact research program, publish in leading academic journals, teach undergraduate and graduate courses, contribute to curriculum development, and participate in departmental, School, and University service. The candidate is also expected to engage in interdisciplinary research and foster collaborations with academic, industry, and community partners.

The Information Technology and Operations (ITO) Area at Fordham University's Gabelli School of Business is a collaborative community of scholars advancing research and education in artificial intelligence, information systems, business analytics, and operations management. Located at the Lincoln Center and Rose Hill campuses in New York City, the area offers undergraduate, MBA, and doctoral programs, as well as three specialized master's programs: the M.S. in Business Analytics (MSBA), M.S. in Information Technology (MSIT), and M.S. in AI in Business (MSAIB). Faculty maintain active research programs across AI, analytics, digital transformation, and related fields, fostering a supportive environment for impactful scholarship, interdisciplinary collaboration, and innovation.

Responsibilities

• Develop and sustain a high-impact research program
• Publish in leading academic journals
• Teach undergraduate and graduate courses
• Contribute to curriculum development
• Participate in departmental, School, and University service
• Engage in interdisciplinary research
• Foster collaborations with academic, industry, and community partners

Requirements

• Ph.D. or expected completion by the appointment date in Information Systems, Business Analytics, Artificial Intelligence, or a closely related field
• Strong record of research published in, or the potential to publish in, leading academic journals
• Ability to teach technical AI-related courses

Qualifications

• Preference given to candidates with strong potential to publish in leading Information Systems and related academic journals
• Demonstrated ability to teach and develop technically rigorous courses in artificial intelligence, machine learning, generative AI, and other emerging technologies

Pay

$180,000 to $190,000

Deadline: November 15, 2026 at 11:59 PM Eastern Time