Computer Information Systems-Assistant Professor

Computer Information Systems-Assistant Professor

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Job No : 540838

Work Type : Instructional Faculty - Tenured / Tenure-Track

Location : Pomona

Categories : Unit 3 - CFA - California Faculty Association, Tenured / Tenure-Track, Full Time, Faculty - Computer Science, On-site (work in-person at business location)

Position description : We are seeking one candidate for tenure-track position of Assistant Professor to begin during the Fall Semester of 2025.

The successful candidate will have teaching, research, or industry work experience in areas which include Cybersecurity, Network Security, Cloud Security, Web Application Security, IoT Security, IT Infrastructure, IT Administration, Information Systems Auditing, Digital Forensics, and Data Communication.

An additional desired area of consideration is Artificial Intelligence, particularly regarding AI's utilization in areas of Cybersecurity, security pertaining to the IoT, IS Auditing, Data Analytics, and Application Development.

The responsibilities for this position include teaching two undergraduate and / or graduate courses each semester during the first two years, 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 and demonstrate a commitment to inclusive excellence and diversity in higher education are particularly encouraged to apply.

Required Qualifications :

• Academic and / or industry experience in at least one of the following areas :
• Network Security, Cybersecurity, Cloud Security, Web Application Security, IoT Security, IT Infrastructure, IT Administration, Information Systems Auditing, Digital Forensics, and Data Communication.
• 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 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 Student Success Statement as specified above.

Desired Qualifications :

• Academic and / or industry experience in the following area :
• Artificial Intelligence

Conditions of Employment :

The person offered this position is required to pass a background check.

Application Process :

Applications must be submitted via PageUp.

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;
• up to three most recent teaching evaluations (if available);
• official or unofficial transcript for each degree;
• a Student Success Statement as specified above.

Finalists for the position will :

• be required to provide official transcripts for each degree and three recommendation letters within the last two years before the on-campus interview.
• be expected to make a presentation of research and a teaching demonstration to faculty.

The position is open until filled. First consideration will be given to completed applications received no later than October 24, 2024 .

Equal Opportunity Employer

California State Polytechnic University, Pomona is an Equal Opportunity Employer. The university seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the people of California, to maintain the excellence of the university, and to offer our students richly varied disciplines, perspectives, and ways of knowing.

Cal Poly Pomona subscribes to all state and federal regulations and prohibits discrimination based on race, color, religion, national origin, sex, gender identity / gender expression, sexual orientation, marital status, pregnancy, age, disability, genetic information, medical condition, and covered veteran status.

The university hires only individuals lawfully authorized to work in the United States.

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