Assistant Teaching Professor of Artificial Intelligence

AACTE Connect360; Santa Clara (CA); On-site; USD 104,375 - 116,021; Full time

Job summary

AACTE Connect360, located in Santa Clara, is seeking a full-time Assistant Teaching Professor of Artificial Intelligence to begin in Fall 2026. The successful candidate will have a Master's degree or higher in a related field and demonstrate exceptional teaching abilities. The position involves teaching undergraduate and graduate courses in a collaborative environment focused on innovation in AI.

This role offers the opportunity for career advancement with renewable contracts based on performance and funding availability. Ideal applicants will exhibit strong communication skills and a commitment to educational excellence.

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.

Responsibilities

• Teach a 7-course load equivalent per academic year.
• Conduct courses and evaluate student performance.
• Provide mentoring and advice to students.

Skills

Teaching Excellence

Strong Communication

Interpersonal Skills

Education

Master's degree in Computer Science or related field

Job description

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

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

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

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, and practicing in a professional field. Faculty in the Teaching Professor ranks shall not be held to the same standards of scholarship as tenure‑track faculty.

Required 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.

EEO Statement

Equal Opportunity/Notice of Nondiscrimination

Santa Clara University is an equal opportunity employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, ethnicity, national origin, citizenship, ancestry, religion, age, sex, sexual orientation, gender, gender expression, gender identity, marital status, parental status, veteran or military status, physical or mental disability, medical conditions, pregnancy or related conditions, reproductive health decisionmaking, or any other characteristic protected by federal, state, or local laws. For a complete copy of Santa Clara University's equal opportunity and nondiscrimination policies, please visit the Office of Equal Opportunity and Title IX website at https://www.scu.edu/title-ix/.