Assistant Professor of Cybersecurity

Apply now Job no: 553241
Work type: Instructional Faculty – Tenured/Tenure-Track
Location: Long Beach
Categories: Unit 3 - CFA - California Faculty Association, Tenured/Tenure-Track, Full Time, Faculty - Engineering

Assistant Professor of Cybersecurity
Effective Date: August 17, 2026 (Fall Semester)
Salary Range: Assistant Professor classification salary is $74,652 to $158,688 per year; first-year salary range $103,008 to $106,008 per year.
Final date to receive applications: Review of applications to begin January 20, 2026. Position open until filled or cancelled.

California State University, Long Beach (CSULB) is a Hispanic Serving Institution (HSI) and an Asian American and Native American Pacific Islander-Serving Institution (AANAPISI). CSULB earned the Seal of Excelencia in 2023 and is committed to serving diverse students. The university supports the Black Excellence Collegium, El Concilio for Latinx Success, and the President’s Equity and Change Commission, prioritizing inclusive excellence, expanding access, and cultivating resilience.

• Ph.D. in Computer Science, Computer Engineering or a closely related field. Areas may include cybersecurity, computer and network security, hardware and embedded system security, cryptography, privacy-preserving computing, AI-driven security, and cloud or edge security. Degree at time of application or official notification of completion by August 1, 2026.
• Demonstrated potential for effective teaching at undergraduate and graduate levels in Computer Science and/or Computer Engineering.
• Demonstrated potential for excellence in research and related scholarly activities.
• Demonstrated commitment to working successfully with a diverse student population, including low socioeconomic and first-generation students.

• At least two years of teaching experience in undergraduate and/or graduate level courses in computer engineering, computer science, cybersecurity, or related areas.
• At least one year of Postdoctoral experience, especially in cybersecurity, computer and network security, hardware and embedded system security, cryptography, or trustworthy computing.
• Experience successfully working with populations similar demographically and socioeconomically to the CSULB student body.
• Experience mentoring or supporting students using inclusive and culturally relevant teaching strategies in a diverse classroom.

• Teach undergraduate and graduate courses in cybersecurity, computer networks, and related areas. Instruction may include in-person, hybrid, online, or any combination.
• Contribute to development, assessment, and continuous improvement of the curriculum in cybersecurity, computer networks, and related technical fields.
• Engage in sustained research and scholarly activities that result in peer-reviewed publications and external funding.
• Advise and mentor students to support their academic and professional growth.
• Provide service to the department, college, university, and broader community.

Information on an excellent benefits package available to CSULB faculty is located here: CSU Employee Benefits

• A Student Success Statement about your teaching or other experiences, successes, and challenges in working with a diverse student population (maximum two pages, single-spaced).
• Letter of application addressing the required and preferred qualifications.
• CV.
• Names and contact information for three references (to be contacted for confidential letters of recommendation should you reach the semi-finalist stage).
• Teaching Statement (maximum 3 pages) describing your teaching philosophy, instructional approaches, and relevant experiences including an outline of the courses you are interested in teaching.
• Evidence of teaching effectiveness, if available (e.g., student evaluations, peer reviews, or departmental assessments).
• Research Statement (maximum 3 pages) outlining your past research achievements, current projects, and future research agenda.
• Finalists should be prepared to submit an official transcript (e-transcript preferred).

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