Assistant Teaching Professor of Artificial Intelligence

Position Title:

Assistant Teaching Professor of Artificial Intelligence

Position Type:

Fixed Term (Fixed Term)

Salary Range:

$104,375 - $116,021 per year

Purpose:

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.

Responsibilities of Assistant Teaching Professors:

Faculty responsibilities are specified by the Santa Clara University Faculty Handbook (sec. 3.6) and the Collective Bargaining Agreement. Duties include, but are not limited to, the following:

Teaching and Advising (70%)

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

2. 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;

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

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

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

6. Coordinate and supervise MS AI Practicum projects.

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

8. Demonstrate evidence of continuous improvement as an instructor.

Service (15%)

Assistant Teaching Professors are expected to also provide suitable service to the Department, University, profession, and/or community. The service expected of non-tenure-track faculty will be commensurate with their expertise and experience, which is expected to grow over time.

Service is work other than teaching and professional activity that fosters and advances the missions and goals of the department, the college or school, or the university. It may include peer observation performed for annual review, serving on committees, participating in professional organizations and activities, or providing support for department and campus events. It may also include service to the profession, such as participation on committees of a professional organization, and service to the community performed in virtue of a faculty member’s professional expertise or association with the university.

Professional Activities (15%)

Professional activity for non-tenure track faculty on the Teaching Professor track refers to scholarly or creative work, professional practice, or other active engagement in a discipline or field that enables a faculty member to remain current in that area and vital as a teacher. Examples of professional activity include attending or presenting at conferences, publishing works that contribute to scholarship or pedagogy in the field,