Assistant Teaching Professor of Artificial Intelligence

Santa Clara University • Santa Clara, CA

2d • Onsite

About The Position

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. Santa Clara University and the School of Engineering have a long tradition of teaching excellence. The ideal candidate will possess expertise in machine learning, deep learning, reinforcement learning, and related fields. The successful applicant is expected to teach undergraduate and graduate courses offered by the Department of Computer Science and Engineering and by the M.S. in Artificial Intelligence (AI) program. The position duties include teaching/advising (70%), service (15%), and professional development activity (15%). The expected teaching load is seven undergraduate and/or graduate courses over three academic quarters (Fall, Winter, and Spring). Assistant Teaching Professors are initially appointed for a three-year term. Reappointment to subsequent three-year terms depends on the availability of funds, the persistence of programmatic need, and evidence of superior teaching, service, and professional activity. Promotion to Associate Teaching Professor and then to Teaching Professor is possible under the terms of the Collective Bargaining Agreement.

Requirements

• 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.
• Must be able to provide evidence of identity and legal authorization to work in the United States.

Nice To Haves

• 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.

Responsibilities

• Teach a 7-course load equivalent per academic year.
• Fulfill all responsibilities associated with assigned courses, including: Conducting and appearing 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; Assigning and evaluating student work, projects, and exams that align with course or core learning objectives and providing timely feedback to students; Assigning and submitting student grades that are appropriate, accurate, and fair measures of student performance to the Office of the Registrar by the designated deadline; Providing weekly on-campus office hours for consultation outside of class; Being responsive to student concerns in a timely manner; Conducting and submitting 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.
• Provide suitable service to the Department, University, profession, and/or community.
• Attend or present at conferences, publishing works that contribute to scholarship or pedagogy in the field, and practicing in a professional field.

Benefits

• Comprehensive benefits package for benefit eligible employees with programs and resources designed to promote and sustain personal health care, well-being, and the financial objectives of our employees and families.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 1-10 employees