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Adjunct - Information Systems and Technology

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Duquesne University

Academic Connect
5 Star Employer Ranking

Adjunct - Information Systems and Technology

The Information Systems and Technology program within the Palumbo-Donahue School of Business invites applications for adjunct faculty positions to teach graduate and undergraduate courses.

Areas of Teaching Need

We seek individuals with expertise in one or more of the following areas:

  • AI and Machine Learning for Business
  • Programming languages, particularly Python
  • Data Management, SQL, NoSQL, Cloud Data Engineering
  • Cybersecurity and Digital Forensics
  • Business/Data Analytics, Visualization, and Decision Support
  • Systems Analysis & Design, Agile Methodologies
  • Enterprise Systems (ERP), RPA, Process Automation, Process Mining

Adjunct faculty are expected to bring diverse perspectives and practical experience to the classroom, contributing to the School’s mission of developing sought-after business leaders who possess the ethical character, Spiritan mindset, and solutions-oriented skills needed to be global difference makers.

Primary Responsibilities

  • Teach assigned courses in the School of Business curriculum, which may include lecture or online formats.
  • Deliver high-quality instruction using innovative and inclusive pedagogical strategies.
  • Assess student performance through assignments and exams.
  • Collaborate with full-time faculty to ensure course content aligns with program goals and accreditation standards.
  • Maintain availability for student consultation and support outside of scheduled class time.
  • Support and advance the mission of the University through professional conduct and service.

Qualifications

  • Earned master’s degree in a Business discipline
  • Excellent interpersonal and communication skills
  • Enthusiasm for working with students

Preferred:

  • College/university level teaching experience and/or experience teaching, presenting, leading training, or mentoring in professional settings
  • Experience with AI/ML tools, cloud platforms (AWS/Azure/GCP), ERP systems, or cybersecurity frameworks

Application Instructions

Interested candidates should submit the following materials via Interfolio:

  • Letter of interest outlining qualifications and teaching areas
  • Curriculum vitae
  • Contact information for at least two professional references

Review of applications will begin immediately and continue on a rolling basis.

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