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

Position Overview

San Francisco Bay University (SFBU) 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 titled "How to 'Be Creative' in Partnership with Computation & Machine Learning" in our General Education curriculum.

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 adopt 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.

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.

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).