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Assistant Professor of Electrical Engineering (Computer Engineering Technology/Electronics)

California State University
Long Beach, United Statesfull_timeVerifiedPosted 8 Apr 2025
💰 $158,688/yr($74,652/yr$158,688/yr)

About the role

Position: Assistant Professor of Electrical Engineering (Computer Engineering Technology/Electronics)
Effective Date: August 18, 2025 (Fall Semester)
Salary Range: The Assistant Professor (Academic Year) classification salary is $74,652 to $158,688/per year. The anticipated hiring range is $101,760 to $104,940/per year. Salary offered is commensurate with qualifications and experience.
Application Deadline: Review of applications to begin January 7, 2025. Position opened until filled (or recruitment canceled)

California State University, Long Beach (CSULB)  is a Hispanic Serving Institution (HSI) and an Asian American and Native American Pacific Islander-Serving Institution (AANAPISI). It also earned the prestigious Seal of Excelencia in 2023, joining a distinctive group of colleges and universities who have been recognized for its commitment to Latine/x student success. CSULB is committed to serving diverse students and has established and actively supports the Black Excellence Collegium, dedicated to promoting Black excellence and advancing Black Student Success, and El Concilio for Latinx Success at the Beach, whose mission is to build capacity and promote inclusive servingness across initiatives and efforts towards Latine/x student, faculty, and staff success across campus. The President’s Equity & Change Commission is dedicated to achieving inclusive excellence in our community and culture and to interrogate, disrupt, and transform systemic inequities throughout the university. CSULB’s Beach 2030 University Action Plans prioritize engaging all students; expanding access to higher education; promoting intellectual achievement; building community; and cultivating resilience.

College of Engineering
Department of Electrical Engineering

 Required Qualifications:             

  • Ph.D. degree in Electrical Engineering, Computer Engineering or a closely related field. Degree at the time of application or official notification of completion of the doctoral degree by August 1, 2025.
  • Specialization in the area of Computer Engineering Technology, Electronics or related fields with focus on Artificial Intelligence and Machine Learning
  • Demonstrated potential for effective teaching at the college level
  • Record of or demonstrated potential for successful research and scholarly activity
  • Demonstrated commitment to working successfully with a diverse student population, including Black/African American, Latine/x, Native American/Indigenous, low-income, first-generation, and minoritized students

Preferred Qualifications:                            

  • Demonstrated excellence in teaching at the college level
  • Experience in teaching courses in the areas of Computer Engineering Technology, Electronics Engineering technology, Electronics or related fields
  • Demonstrated ability and clear plans for the development of research programs in Computer Engineering Technology, Electronics or related fields with focus on AI and Machine Learning
  • Demonstrated ability to supervise student thesis and projects
  • Ability to develop programs and curriculum
  • Active participant in academic governance
  • Experience of successfully working with populations demographically and/or socioeconomically similar to the CSULB student body (Demographics)
  • Experience mentoring or supporting students with minoritized identities or experience using inclusive and culturally relevant teaching strategies in a diverse classroom

NOTICE: Outstanding candidates from all areas of Electrical and Computer Engineering will be considered, candidates with research interests in the application of AI and Machine Learning in areas of Computer Engineering Technology and Electronics are especially encouraged to apply.

Duties:                                              

  • Teach undergraduate and graduate courses in, or related to, Computer Engineering Technology, Electronics, as well as fundamental undergraduate courses in Electrical Engineering and Engineering Technology. [Mode of instruction may include in-person, hybrid, online, and/or any combination thereof.]
  • Develop programs and curriculum and keep content current
  • Mentor and advise students
  • Supervise graduate student theses and projects
  • Develop and maintain an ongoing research program which complements and enhances res

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Company

California State University

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