Full-Time Special Term Contract Instructor - STEM

Requirements

• Master's degree in Computer Science, Information Science, Data Science, Artificial Intelligence, Cybersecurity, or a closely related field, including a minimum of 18 graduate credit hours in computer science or a directly related discipline.
• PhD in Computer Science or Machine Learning.
• 5 plus years of college teaching experience, community college experience a plus.
• Appointment Term
• August 15, 2026 (Special Term Contract) 2026-2027 academic year
• Background Checks/Clearances
• Employment with the College will require successful completion of background check(s) in accordance with College policies.

Benefits

Additional Information

It's great to work at a place where people are truly committed to serving our students! We're committed to bringing passion and energy to our College. Visit our Life Page on LinkedIn to explore our dynamic campus culture, hear from current employees, and discover what makes Bucks County Community College a great place to work! Full-Time Special Term Contract Instructor - Computer Science Department: School of Science, Technology, Engineering & Mathematics Discipline : Computer Science Bucks County Community College invites applications for a Full-Time Special Term Contract Instructor position in Computer Science within the School of Science, Technology, Engineering & Mathematics for the 2026-2027 academic year. The successful candidate will teach a range of undergraduate Computer Science and Information Science courses, including introductory computing, programming, computer science sequence courses, Python, database design, web programming, systems, networking/cybersecurity, artificial intelligence, machine learning, and other emerging technologies. Teaching responsibilities may also include courses that contribute to the College's general education curriculum. The position requires a strong commitment to community college teaching, student-centered pedagogy, student advising, curriculum development, assessment of student learning and program outcomes, transfer preparation, and workforce-responsive program growth. The successful candidate will be expected to teach across multiple instructional modalities, including in-person, online, and hybrid formats.

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