On-Campus Adjunct Faculty: Graduate and Undergraduate Computer Science and Data Science Courses
About the role
San Francisco Bay University (Fremont, CA) is establishing a pool of qualified Adjunct Instructors to teach undergraduate and graduate courses in Computer Science and Electrical Engineering, as well as undergraduate courses in Mathematics.
If you’ve ever dreamed of tearing up the rulebook, of rethinking education in bold, creative, and disruptive ways, you might belong here. San Francisco Bay University is embarking on a bold experiment in higher education, and we’re looking for the people who will make it real.
Primary Responsibilities
-
Teach Computer Science, Electrical Engineering, or Mathematics courses (on-campus in Fremont, CA).
-
On an as needed basis, redesign and develop course materials, pedagogical strategies, and assessments in alignment with SFBU’s teaching vision, emphasizing personalized, experiential, relational, and student-centered learning.
-
Engage with SFBU’s Center for Empowerment and Pedagogical Innovation (CEPI) through workshops and teaching development, and apply insights to enhance teaching effectiveness and classroom impact.
-
Deliver course content in AI/ML, Mathematics, Embedded Engineering, Digital Design, Networking, Cybersecurity, Cloud Computing, or foundational Computer Science and Electrical Engineering areas.
-
Refine curriculum aligned with current industry trends, including the integration of emerging technologies such as generative AI.
-
Foster a supportive, engaging, and inclusive classroom environment.
-
Advise and mentor students on academic and career growth.
-
Participate in curriculum review, program assessment, and accreditation efforts.
-
Serve on academic and institutional committees, as needed.
-
Remain current with developments in pedagogy and computing through ongoing professional development.
Required Qualifications
-
A Ph.D. or D.Eng. in Computer Science, Mathematics, Electrical and Computer Engineering, or closely related fields.
-
Demonstrated excellence in teaching and curriculum development.
-
Strong communication skills and a commitment to inclusive education.
-
Authorized to work in the U.S.
Preferred Qualifications
-
Professional experience or certifications in AI/ML, networking (e.g., CCNA), or cybersecurity (e.g., CISSP, CompTIA Security+), Cloud Computing Infrastructure.
-
Experience teaching in diverse, student-centered environments.
-
Evidence of mentoring and student support.
Benefits
Salary: SFBU compensation for a 3-credit course is $152.10 per hour (approx. 48 hours total/semester = $7,300/course). Additional compensation for non-instructional training(s).
Application Instructions
Applicants should submit the following materials:
-
A detailed cover letter that describes their qualifications and interests.
-
Curriculum Vitae (CV)
Applications will be reviewed regularly and will continue until the positions are filled.