Computer Science & Engineering; AI - Adjunct Instructor

Position: Computer Science & Engineering (AI) - Adjunct Instructor
Adjunct Instructor (Part-Time), AI 100:
Foundations of Artificial Intelligence

Position summary
Sacred Heart University seeks an adjunct instructor for Fall 2026 and Spring 2027 to teach AI 100 Foundations of Artificial Intelligence, an in-person, 3-credit undergraduate course designed for non-technical majors with no prerequisites.

Course overview
AI 100 introduces the history, terminology, and foundational concepts of AI, with attention to applications across industries and the opportunities and risks associated with AI's growing influence. The course includes introductory exposure to machine learning and hands-on experiential learning in the AI Lab, with special attention to ethical tensions, data privacy, and societal challenges. Topics may include:
Humans-in-the-loop, perceptrons and neural networks, computer vision and CNNs, reinforcement learning, AI infrastructure, AI ethics/policy/society, machine learning foundations, NLP and GPTs, reasoning models, custom GPTs, and agents. The course is delivered in-person, lecture-based with some lab work, typically held in the AI Lab, and occurs twice a week during normal business hours.

Qualifications

Master's degree or higher in a relevant discipline (e.g., Artificial Intelligence, Computer Science, Data Science, Management Information Systems/Technology, Analytics, Engineering, MBA, or a closely related field).
Demonstrated knowledge of foundational AI concepts and contemporary generative AI tools, aligned with the course outcomes (core concepts, low-code ML exposure, sector applications, ethics and society).
Prior college-level teaching experience (or equivalent instructional/training experience) preferred. Familiarity with LMS Blackboard Ultra preferred.
Ability to teach effectively for a non-technical undergraduate audience and to foster critical thinking and active participation.
High level of competence with Open AI's ChatGPT.

Application Instructions:
Qualified applicants are invited to submit a letter of interest, current CV, statement of teaching philosophy, and relevant examples from taught courses (if applicable). Please provide one letter of recommendation or accurate contact information. Official transcripts will be required upon offer of employment. Review of applications will begin immediately.