Adjunct Lecturer, AI User Interfaces for Analytics (On-Campus, Fall '26)

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.

The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

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.

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.

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.

Requirements

Ph.D. in Computer Science, Information Technology, or related discipline; Proficiency in HTML/CSS, JavaScript, and Python; Good understanding of UX design and data visualization principles; Proven industry experience in UX/UI and web development

Nice to have

10+ years of related professional experience.; 2+ years of University teaching experience, ideally at the graduate level; 2+ years of experience with cloud services on AWS, GCP, or Azure; Any experience applying generative AI models for visualization