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

Fordham University Office of Military and Veterans' Services; Rose Hill (AR); Vor Ort; USD 180.000 - 190.000; Vollzeit

Zusammenfassung

Fordham University Gabelli School of Business invites applications for a tenure-track Assistant Professor position in Information, Technology and Operations for Fall 2027. The area seeks scholars with strong research potential in AI, analytics, and related computational methods married to business applications.

Applicants should hold a Ph.D. or expect to complete one by Fall 2027 and demonstrate ability to teach and develop rigorous AI/ML courses while engaging with interdisciplinary research

Qualifikationen

• Ph.D. required or expected by appointment date in Information Systems, Business Analytics, Artificial Intelligence, Computer Science, or related field.
• Strong potential to publish in leading Information Systems and related journals.
• Research using computational approaches to AI and addressing business problems.
• Ability to teach and develop technically rigorous courses in AI, ML, and related technologies.

Aufgaben

• Develop and sustain a high-impact research program and publish in leading journals.
• Teach undergraduate and graduate courses and contribute to curriculum development.
• Engage in interdisciplinary research and collaborations with industry and community partners.
• Participate in Area, School, and University service.

Kenntnisse

Strong research track-record

Teaching ability in AI/ML

Ausbildung

Ph.D. in Information Systems / Analytics / AI / CS

Jobbeschreibung

Fordham University: Office of the Provost: Gabelli School of Business: Information, Technology and Operations

Location

Rose Hill and Lincoln Center Campuses

Open Date

Aug 20, 2026

Salary Range or Pay Grade

$180,000 to $190,000

Deadline

Nov 15, 2026 at 11:59 PM Eastern Time

Description

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.

Applicants should hold a Ph.D. or expect to complete one by the appointment date, in Information Systems, Business Analytics, Artificial Intelligence, Computer Science, or a closely related field. Candidates should demonstrate a strong record of research published in, or the potential to publish in, leading academic journals. We particularly welcome candidates whose research and teaching expertise focuses on or applies computational approaches to artificial intelligence, including generative AI, large language models, AI agents, and related data-driven methods. The ability to teach technical AI‑related courses in a business‑school setting is highly desirable.

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 Area, School, and University service. The candidate is also expected to engage in interdisciplinary research and foster collaborations with academic, industry, and community partners.

Department/Division Overview

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 education, 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).

The Gabelli School also offers doctoral programs, including Ph.D., DBA, and DPS programs, providing additional opportunities for faculty engagement in doctoral education, research, and interdisciplinary collaboration.

Faculty maintain active research programs in artificial intelligence, generative AI, analytics, digital transformation, and related areas. The Area provides a supportive environment for rigorous and impactful scholarship, interdisciplinary collaboration, and innovation at the intersection of technology and business.

Qualifications

Required Qualifications

Applicants should hold a Ph.D. or expect to complete one by the appointment date in Information Systems, Business Analytics, Artificial Intelligence, Computer Science, or a closely related field.

Preferred Qualifications

Preference will be given to candidates with strong potential to publish in leading Information Systems and related academic journals. We especially welcome candidates whose research uses computational approaches to artificial intelligence and addresses problems relevant to business, organizations, or digital platforms. Candidates should also demonstrate the ability to teach and develop technically rigorous courses in artificial intelligence, machine learning, generative AI, and related emerging technologies.