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Full Time Adjunct Faculty, MS Applied Artificial Intelligence

University of San Diego
San Diego, United Statesfull_timeVerifiedPosted 1 Jul 2026
💰 $90,000/yr($69,996/yr$90,000/yr)

About the role

 

Position Title & Department:

 Full Time Adjunct Faculty, MS Applied Artificial Intelligence Posting #

5535

Department Description:

The MS-AAI program is one of the few graduate programs in the nation that emphasizes applied, real-world artificial intelligence, integrating technical depth with ethics, moral responsibility, and AI for social good. Candidates with experience across all areas of artificial intelligence and machine learning will be considered. Preference will be given to candidates with the ability to develop and teach courses in deep learning, computer vision, large language models (LLMs), and agentic AI systems. Applicants with strong industry experience, applied research experience, or prior teaching experience in higher education are especially encouraged to apply.

University Description:

The University of San Diego, an engaged and contemporary Catholic institution, was founded by the Diocese of San Diego and the Society of the Sacred Heart in 1949. Governed by an independent board of trustees since 1972, USD remains committed to a liberal arts education grounded in the Catholic intellectual tradition and the pursuit of truth, goodness and beauty. Inspired by this centuries old tradition of Catholic higher education, the University welcomes people of all faith traditions and any, or no, religious background. The future success of USD relies on the contributions of those who seek to foster the development of engaged global citizens and an earnest confrontation of humanity’s urgent challenges.

Detailed Description:

The Shiley-Marcos School of Engineering at the University of San Diego (USD) invites applications for a full-time adjunct faculty in the Master of Science in Applied Artificial Intelligence (MS-AAI) program, with an appointment beginning in the Spring 2027 semester, which begins on January 2, 2027. This is an on-campus position requiring the selected candidate to reside in or relocate to the San Diego area. The MS-AAI program is delivered in accelerated 7-week course blocks, and all instruction occurs in person at USD. USD is a designated Changemaker campus committed to academic excellence, student success, ethical responsibility, and community engagement.

This is a full-time temporary, benefit-based position with an anticipated end date of August 31, 2027. The appointment is renewable at the discretion of the University and dependent upon performance and continued funding.

Duties and Responsibilities:

  • Demonstrate a strong commitment to teaching excellence in an applied graduate program.
  • Deliver engaging instruction in 7-week, in-person course formats.
  • Provide timely, constructive feedback and meaningful engagement with graduate students.
  • Integrate industry experience, real-world case studies, and emerging AI practices into the teaching curriculum.
  • Mentor and advise graduate students on academic progress, career planning, and capstone project development.
  • Uphold USD’s Vision, Mission, and Core Values, including academic excellence, community, ethical conduct, and compassionate service.
  • Maintain high standards of academic integrity and student performance.
  • Collaborate with the Academic Program Director and Program Coordinator on course development and continuous improvement.

Participate in departmental and university service and marketing activities as appropriate.

Special Conditions of Employment:

Candidates must be authorized to work in the United States.

Job Requirements:

Minimum Qualifications:

  • Master’s degree or higher in Artificial Intelligence, Computer Science, Data Science, Statistics, Electrical and Computer Engineering, or a closely related quantitative field.
  • Demonstrated industry experience related to AI or applied research experience in artificial intelligence or machine learning.
  • Strong foundations in machine learning principles, probability, statistics, and linear algebra relevant to deep learning and la

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Company

University of San Diego

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