Lecturer, Department of Information Systems and Analytics
Listed on 2026-06-02
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IT/Tech
Cybersecurity
The Department of Information Systems and Analytics (ISA) at Bryant University invites applications for a lecturer, beginning in August 2026.
The successful candidate will be expected to contribute to our undergraduate and graduate ISA programs in IS, Data Science, Business Analytics, and Applied AI. We especially welcome applicants qualified to teach courses in IT Infrastructure and Cloud Computing, Cybersecurity, and IT Security and Risk Management. Candidates with additional expertise in Artificial Intelligence and Robotics are preferred.
This position requires a strong commitment to teaching excellence. In addition, the position requires contribution to occasional service projects at the department, college, and university level. Salary is market based and commensurate with preparation, experience, and demonstrated performance.
Principal Accountabilities- Teach undergraduate courses in IT Infrastructure and Cloud Computing, Cybersecurity and related courses.
- Develop and deliver course materials that integrate current industry practices, cloud platforms, cybersecurity frameworks, and emerging AI applications.
- Contribute to the development and accreditation of the ISA curriculum through service activities at the departmental, college, and university levels.
- Collaborate with other faculty and mentor Bryant students to enhance learning community and outcomes.
- Build and maintain connections with the business community to support experiential learning and student success.
- Serve as an active member of the Bryant University community.
- Master’s degree in Information Systems, Computer Science, Cybersecurity, Information Technology, Data Science, or a closely related field from an AACSB-accredited institution (or equivalent accreditation).
- Significant professional experience in cybersecurity, IT infrastructure, cloud computing, or related fields.
- Demonstrated teaching effectiveness at the university level.
- Excellent interpersonal and communication skills.
- Ability to teach introductory courses in Artificial Intelligence.
- Experience with hands‑on, lab‑based, or experiential learning approaches.
- Working knowledge of robotics systems and experience developing applications for humanoid robots.
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