Tenure Track Assistant Professor in Computer Information Systems

California State Polytechnic University Pomona; Pomona (CA); On-site; USD 80,000 - 100,000; Full time

Job summary

California State Polytechnic University Pomona is seeking a Tenure Track Assistant Professor in Computer Information Systems. The role involves teaching undergraduate and graduate courses, developing courses related to Artificial Intelligence, conducting impactful research, and contributing to the CIS Department and College of Business Administration.

Qualified candidates should possess a Ph.D. in Information Systems or a closely related discipline and have experience in AI applications, Big Data Analytics, and related fields. Applications are open until filled, with priority for those submitted by October 11, 2026.

Qualifications

• Academic and/or industry experience in Artificial Intelligence applications.
• Ph.D. must be earned by the start of the appointment.
• Evidence of research resulting in peer-reviewed journal publications.
• Evidence of teaching excellence.

Responsibilities

• Teach undergraduate and graduate courses.
• Develop AI-related courses.
• Conduct research leading to peer-reviewed publications.
• Contribute service to the department and college.

Skills

Artificial Intelligence applications for business

Big Data Analytics

Data Mining

Client- or Server-side Web Development

Education

Ph.D. in Information Systems or closely related discipline

Job description

Tenure Track Faculty Position, Computer Information Systems Department, College of Business Administration, Cal Poly Pomona

The Department of Computer Information Systems at Cal Poly Pomona invites applications for the position of Tenure Track Assistant Professor in Computer Information Systems, effective Fall 2027. We have a strong commitment to inclusive excellence and to educational experiences that leverage the diverse perspectives and experiences needed to succeed and thrive in a diverse society.

The qualified candidates will have teaching, research, or industry work experience in the area of Artificial Intelligence applications for business. Additional desired areas of consideration include Big Data Analytics, Data Mining, and Client- or Server-side Web Development. The responsibilities for this position include teaching both undergraduate and graduate courses, developing AI related course(s), conducting research leading to peer-reviewed publications, and service contributions to the CIS Department, the College of Business Administration, and the university. Applicants who have relevant working experience or demonstrate a commitment to inclusive excellence and diversity in higher education are particularly encouraged to apply.

Application Process:

A completed application will consist of:

• A cover letter that describes the candidate’s teaching and research experience and interests and that addresses the qualifications articulated in the position description;
• A curriculum vitae;
• Official or unofficial transcript for each degree;
• Teaching evaluations from the most recent year, if available
• A teaching philosophy statement; and
• The names and contact information for three individuals that can serve as references.

The position is open until filled. First consideration will be given to completed applications received no later than October 11, 2026. To apply and for expanded position description and application information, please go to https://careers.cpp.edu/po/en-us/job/558301/computer-information-systems-assistant-professor. For general inquiries, please contact Dr. Hui Shi by email at [e-mail].

Minimum requirements include:

• Academic and/or industry experience in at least one area of Artificial Intelligence applications for business, such as Agentic AI, Large Language Models, Generative AI.
• Ph.D. in Information Systems or closely related discipline from an accredited university, AACSB preferred. A terminal degree must be earned by the start of the appointment.
• Demonstrated evidence of or commitment to research resulting in peer-reviewed journal publications. Candidates with a doctorate conferred more than 5 years ago must have at least two peer-reviewed journal articles within the past five years.
• Candidates with experience in higher education must show evidence of teaching excellence.
• A teaching philosophy statement.

Preferred/Desired Qualifications:

• Academic and/or industry experience in one or more of the following areas: Big Data Analytics, Data Mining, Client/Server Web Development