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Assistant Teaching Professor of Artificial Intelligence

Santa Clara University · Santa Clara, CA · 4 mo ago
Training$104k–$116k/yrFull-time

About the role

The Department of Computer Science and Engineering in the School of Engineering at Santa Clara University seeks applications for a full-time Assistant Teaching Professor (full-time, non-tenure track position with subsequent renewable three-year contracts) beginning in Fall 2026.

Responsibilities

  • Teach a 7-course load equivalent per academic year.

  • Conduct and appear at all assigned class meetings in a timely and prepared manner that demonstrates a command of the discipline and skill in presenting the concepts and methods effectively.

  • Assign and evaluate student work, projects, and exams that align with course or core learning objectives and provide timely feedback to students.

  • Assign and submit student grades that are appropriate, accurate, and fair measures of student performance to the Office of the Registrar by the designated deadline.

  • Provide weekly on-campus office hours for consultation outside of class.

  • Be responsive to student concerns in a timely manner.

  • Conduct and submit course assessments as required by the School.

  • Develop or update courses that contribute to curriculum development in the Artificial Intelligence program.

  • Participate in the assessment of student learning for courses offered.

  • Provide advice and mentoring to students, as assigned by the Department Chair and Program Director of MS in AI.

  • Coordinate and supervise MS AI Practicum projects.

  • Fulfill other instructional or academic duties as may be assigned by the Dean, the Department Chair, or Program Director.

  • Demonstrate evidence of continuous improvement as an instructor.

Qualifications

  • A Master’s degree or higher in computer science, computer engineering, informatics, or in a closely related field.
  • Demonstrated ability or potential for excellence in teaching undergraduate and graduate courses in artificial intelligence.
  • Strong communication and interpersonal skills.

Preferred Qualifications

  • Ph.D. degree in computer science or in a closely related field.
  • Evidence of teaching effectiveness.
  • Experience with innovative pedagogy (e.g., project-based learning, experiential learning, or industry collaboration).
  • Familiarity with industry practices in machine learning, data mining, and artificial intelligence.

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