Tenure-Track AI & IS Professor in Business Tech

Fordham University Office of Military and Veterans' Services

Rose Hill (AR)

Vor Ort

USD 180.000 - 190.000

Vollzeit

Vor 3 Tagen
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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 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

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