About this role
Columbia University, School of Professional Studies (SPS) seeks candidates to serve
as a part-time Lecturer to teach a graduate-level course in AI User Interfaces for
Analytics. The course delivers a comprehensive understanding of the principles of UX
design, as well as techniques and best practices for developing user interfaces (UIs).
Students will learn how to create intuitive, interactive, and visually engaging websites and
dashboards surfacing AI-generated insights. The curriculum covers the entire process
from design and implementation to the evaluation of UIs. Students gain hands-on
experience with web development technologies, such as HTML, CSS, JavaScript, and
related cloud services. Additionally, the course integrates apply state-of-the-art AI
technologies for creating intelligent and interactive UIs.
Responsibilities
Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions (classes generally meet once per week for up to 2 hours).Monitor and address student concerns and inquiries.Evaluate, grade student work and assessments.Conduct office hours. Columbia University SPS operates under a scholar-practitioner faculty model, which
enables students to learn from faculty possessing outstanding academic training as well
as a record of accomplishment as practitioners in an applied industry setting.
Requirements
Ph.D. in Computer Science, Information Technology, or related disciplineProficiency in HTML/CSS, JavaScript, and PythonGood understanding of UX design and data visualization principlesProven industry experience in UX/UI and web developmentPreferred Skills & Experience
10+ years of related professional experience.2+ years of University teaching experience, ideally at the graduate level2+ years of experience with cloud services on AWS, GCP, or AzureAny experience applying generative AI models for visualization Salary range: $11,000 - $13,000 per semester long course
Please submit a resume inclusive of university teaching experience.
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran