Associate Faculty, School of Technology and Computing

Associate Faculty, School of Technology and Computing City University of Seattle in Seattle, WA Type: Adjunct/Part-Time Category: Computer Science Military Company Description: City University of Seattle (CityU) is a distinguished and comprehensive private nonprofit university and an affiliate of National University. We serve students regionally, nationally, and globally, reaching across borders to impart knowledge and empower individuals. With a focus on adult learners and online students, we provide flexible, accessible programs tailored to meet the needs of the modern learner. Offering over 60 academic degree programs, we are committed to expanding our student's knowledge, skills, and possibilities. Our mission is deeply rooted in the belief that education can improve lives. We invite you to join us in our commitment to fostering community, promoting diversity, and providing an environment where every student can thrive and achieve their educational goals. Job Description: About the School of Technology & Computing The School of Technology & Computing (STC) brings together technology education and real-world industry experience. Our programs are designed for working professionals and career changers who want to build practical, relevant skills and apply them directly to today's technology landscape. STC offers undergraduate and graduate programs in Artificial Intelligence, Computer Science, Data Science, and Cybersecurity, with flexible online and in-person learning options. What sets STC apart is our strong connection to the technology industry. Our students learn from faculty who bring current professional experience into the classroom, connecting academic concepts to the tools, challenges, and practices they encounter in the real world. We also welcome students entering technology from nontraditional backgrounds, with bridge and preparatory courses that help them build the foundation they need to succeed. For technology professionals and educators, STC offers an opportunity to teach students who are serious about advancing their careers. Faculty in the Greater Seattle area may have opportunities to teach online or in person, while faculty with doctoral-level expertise may also contribute to our Doctor of Information Technology program. STC is part of a university built around the needs of adult learner students who bring professional experience, diverse perspectives, and clear goals into the classroom. Our faculty play an important role in helping these students turn their experience and ambition into meaningful career opportunities. Job Summary Associate Faculty in STC bring their professional expertise and teaching experience into the classroom to create an engaging, practical learning experience for adult students preparing to advance their careers in technology and computing. Faculty are expected to connect academic concepts with real-world practice, use effective and engaging teaching approaches, and support students through mentoring and meaningful interaction. Teaching opportunities may be available in online, mixed-mode, and on-campus formats. Success in this role requires an understanding of adult learners, cultural awareness, and the ability to bridge technology skills with the broader knowledge and concepts that help students succeed in the field. Associate Faculty play an important role in helping STC students build the knowledge, confidence, and practical skills they need for meaningful careers in technology and computing. Requirements: Master's degree from an accredited institution in computing or a related field, such as Artificial Intelligence, Data Science, Computer Science, Cybersecurity, Information Technology, Software Engineering, or Computer Engineering. A bachelor's degree in a STEM or related technical field is preferred. Relevant professional experience in one or more areas of technology and computing, with the ability to bring current industry knowledge and practices into the classroom. Ability to connect academic concepts with practical, real-world applications and engage adult learners through effective teaching practices. A genuine understanding of the practitioner-faculty model and the importance of providing students with the highest quality educational experience in technology and computing. Strong written and verbal communication skills, with the ability to communicate effectively with students, faculty, staff, and university leadership. Ability to collaborate effectively with colleagues and engage respectfully with students from diverse cultural, professional, and educational backgrounds. Desired Qualifications Experience as both an online student and an online instructor. Experience using learning management systems and other educational technologies. Doctoral degree in related technical fields such as Artificial Intelligence, Computer Science, Data Science, Cybersecurity, and Information Technology. Teaching or training experience in higher education, professional education, or industry. Experience teaching in both online and in-person environments. Minimum of two years of professional experience in the technology industry. Relevant industry-recognized certifications. Physical Demands: The physical demands described here represent those that an employee must meet to perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. While performing the duties of this job, the employee is frequently required to stand, sit, talk, hear, and perform repetitive motions of the hands or wrists. The employee is occasionally required to stand, walk, grasp or handle, stoop or bend, and reach. Working Conditions: The working conditions described here represent those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Work is performed indoors in a remote and/or online classroom setting. Salary Information: Associate Faculty compensation is based on course level (undergraduate, graduate, and doctoral), the number of course credits, delivery mode, and the number of students in class. Course rates range from $2,000 to $4,000. #J-18808-Ljbffr IMDiversity