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University Of Pittsburgh - Bradford & Titusville
Pittsburgh, Pennsylvania, United States
(on-site)
Posted
1 day ago
University Of Pittsburgh - Bradford & Titusville
Pittsburgh, Pennsylvania, United States
(on-site)
Job Type
Full-Time
Job Function
Other
Teaching Faculty Position in Information Systems and Technology Management
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Teaching Faculty Position in Information Systems and Technology Management
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
The University of Pittsburgh School of Business invites applications for a full-time, appointment-stream faculty position at the Clinical Assistant Professor level in our Information Systems and Technology Management (ISTM) area starting Fall 2026.The position requires: (1) a strong commitment to excellence in teaching and student engagement with evidence of potential in both, and (2) the ability to teach core information systems concepts and applications of AI technologies focusing on their potential impact in business and management.
Professional work experience in managing enterprise systems, business analytics, enterprise artificial intelligence systems/ machine learning, cybersecurity, or related technology management functions is required. Doctoral degree preferred in computer science, artificial intelligence, machine learning, information systems, or related disciplines. Candidates with all-but-dissertation (ABD) status must complete their doctoral degree prior to the Fall 2026 start date.
To apply, directly upload a letter of interest, vitae/resume, a teaching statement, and any other evidence of your teaching effectiveness, such as a digital teaching portfolio. Any other documents including references, research statement, and evidence of service to the business and academic communities can also be included with your application. Applications should be submitted electronically. PDF format is preferred for documents.
Applications will be accepted until the position is filled, or February 1, 2025, whichever comes first.
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Job ID: 81157632
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