Assistant Professor, Computer Science and Information Systems

Assistant Professor, Computer Science and Information Systems

Join to apply for the Assistant Professor, Computer Science and Information Systems role at Johnson County Community College
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This full‑time faculty position begins in August 2026 in the Computer Science and Information Systems (CSIS) department. CSIS encompasses computer science, information systems, data science/data analytics, and is currently developing applied artificial intelligence courses. Current CSIS needs include developing and teaching courses in data science/data analytics and applied artificial intelligence.

Full‑time CSIS faculty are required to teach an average of 15 credit hours per semester. Teaching assignments may be any combination of face‑to‑face, hybrid, online, day or evening, and are subject to change as needed. Regular on‑campus presence is required. The selected candidate is expected to demonstrate mastery of subject matter, teaching, and evaluation of student learning. Faculty participate in professional development and college/division/program activities, support college policies and procedures, and contribute to the growth and enhancement of college mission and programs.

This position demands collaboration across the department and the ability to manage projects, meet deadlines, and maintain relationships with industry and academic partners.

• Master’s degree or above in computer science (or subfield or computer information systems), Master’s degree or above with 18 graduate hours in computer science (or subfield) or computer information systems, or Bachelor’s degree or above and a combination of work experience and course work.
• Minimum one year of related teaching (full‑time, adjunct, graduate teaching) or training experience.
• Proficiency in several areas of data science/data analytics and/or applied AI:
  Python programming, SQL, data visualization, data mining, big data architecture, machine learning, natural language processing, LLMs, and/or computer vision.
• Ability and desire to teach a variety of CSIS courses (which include prefixes CS, CIS, and DS).
• Demonstrated positive teamwork experience with evidence of workload contributions.
• Demonstrated strong written and oral communication skills.
• Demonstrated self‑motivation to accomplish tasks within a given timeline.

• Minimum one year of related full‑time or adjunct teaching experience at the post‑secondary level.
• Experience teaching data science/data analytics and/or applied AI.
• Experience developing course curriculum.
• Experience with modern learning management systems (e.g., Canvas).
• Experience teaching online courses.
• Experience implementing innovative teaching practices, including active learning, project‑based, service learning, and other student‑centered pedagogies.
• Familiarity with the current landscape of computer science education in K‑12 and Higher Education.

• Fully‑powered teaching expectations require content expertise, instructional methods, communication skills, and institutional compliance as detailed below.
  • Possess thorough and accurate knowledge of the specific field/discipline, including the ability to evaluate and apply content.
  • Be committed to professional development by keeping current in the respective discipline.
  • Maintain faculty credentials as required by the college’s accrediting agencies.
• Effective teaching reflects sound instructional methods drawn from the scholarship of teaching and learning, cultivating a supportive learning environment that allows students to think critically and experiment with material.
  • Select and develop instructional materials; plan and organize instruction to enhance student learning; create appropriate assignments to encourage student learning, the development of communication skills, and higher‑order thinking; and use available instructional technology, as appropriate.
  • Use a variety of proven methods of engagement and assessment that facilitate student mastery of the content.
  • Provide students constructive, encouraging, and corrective feedback. Evaluate student learning by creating and applying course competencies and accurately evaluating…