Adjunct Faculty: How to Be Creative in Partnership with Computation & Machine Learning

About the role

San Francisco Bay University (SFBU), a nonprofit, WASC-accredited university situated in the heart of Silicon Valley in Fremont, California, seeks an innovative and experienced Adjunct Faculty. SFBU's mission is to offer inclusive, innovative, and inspirational education for lifelong careers and our vision is to set the standard as a national model of higher education in service of the common good. At SFBU, students come first. We prioritize students' needs by fostering personal engagement among students, faculty, and staff. We are committed to providing affordable quality education with a deep commitment to diversity, equity, inclusion, and social justice.

Position Overview

San Francisco Bay University is seeking dynamic and dedicated adjunct faculty in computational creativity and innovation to design (remote) and/or deliver (remote or face-to-face) an innovative new course in our General Education curriculum. The course is titled How to "Be Creative" in Partnership with Computation & Machine Learning. The course explores the intersection of computer science, math, art, and design, examining how computational tools transform creativity while engaging with the ethical and philosophical questions they raise. Students will develop tactical computational skills, explore generative art, machine learning, and algorithmic design, and analyze how creativity intertwines with imagination, emotions, and innovation. Through hands-on projects, they will reveal connections between artistic expression, mathematical principles, and scientific phenomena. The course culminates in a final project where students synthesize their learning to harness computation as a creative tool.

Teaching Excellence

• Possess deep subject knowledge, pedagogical expertise, and the ability to engage students actively while adapting to their diverse needs.
• Understand and appreciate student-centered design and adapt pedagogical practices such as active learning strategies, collaborative projects, problem-based learning, inquiry-based learning, flipped classroom models, and the use of formative assessments to inform and adjust teaching.
• Create a supportive and dynamic learning environment that emphasizes clear communication, collaboration, inclusivity, and continuous improvement.
• Facilitate interactive discussions, promote critical thinking, and guide students to apply concepts to real-world scenarios.

Curriculum Development

• Collaborate with colleagues and consultants on the development and refinement of the general education curriculum, incorporating the latest advancements in technology, ensuring alignment with disciplinary and community/industry needs and emerging trends, and leveraging best practices to position SFBU students for success throughout their academic and professional careers.

Inclusive Education

• Implement innovative and inclusive teaching best practices that reflect our core value of providing access and inclusion to a diverse student body.

Quality Improvement

• Active engagement in course and program-level assessment design, data collection, review, and reporting.

Professional Learning

• Attend teacher training and professional learning activities offered by SFBU's Center for Empowerment & Pedagogical Innovation (CEPI).
• Participate in student-centered formative and summative assessments of teaching performance.
• Remain current with emerging developments in general education, pedagogy, and related fields.

Required Qualifications

• Masters Degree required; Doctorate Preferred in computer science, data science, and machine learning, or closely related field.
• Demonstrated teaching experience in general education and a commitment to excellence in pedagogy.
• A passion for mentoring and guiding students in their academic and professional growth.
• Strong communication skills and the ability to collaborate effectively with colleagues, students, and community partners.
• Commitment to diversity, equity, and inclusion in education and practice.

Preferred Qualifications

• Experience in general education curriculum development.

Salary

SFBU compensation for 3-credit course delivery in general education is $11,880.80 ($148.51 per hour). Additional compensation non-instructional training(s).

Application Materials

• A cover letter detailing candidate qualifications to teach How to "Be Creative" in Partnership with Computation & Machine Learning. The letter should also briefly discuss the candidate's teaching philosophy and show alignment with our mission and core values (https://www.sfbu.edu/strategic-plan).
• Curriculum vitae.
• Contact information for three professional references.

Application Instructions

Interested candidates must submit the above application materials. Applications will be reviewed beginning immediately and continue until the position is filled. To apply, please visit: https://app.trinethire.com/companies/33737-san-francisco-bay-university/jobs/104393-adjunct-faculty-how-to-be-creative-in-partnership-with-computation-machine-learning.