Adjunct Associate Faculty, Mathematics for AI (On-Campus, Fall '26)

ColumbiaUniversity1

New York, NY, United States permanent

Posted: February 27, 2026

Quick Summary

We are seeking an Adjunct Associate Faculty member in Mathematics for AI at Columbia University, where we seek a highly motivated and experienced mathematics professional to join our team. The ideal candidate will have a strong background in mathematics and AI, and be able to teach at the associate level. The successful candidate will have a Ph.D. in mathematics and experience in AI teaching.

Job Description

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 to pursue greater human understanding, pioneering 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 twenty 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.

Seeking analytics professionals to serve as a part-time Associate for a graduate level course on Mathematics for AI. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a couse section. Serving as an Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University. 

Responsibilities

• Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.
• Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions.
• Evaluate, grade student work and assessments as requested by the course Lecturer.
• Monitor and address student concerns and inquiries.

Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. 

Requirements

• Graduate degree in an area related to applied analytics, data science or another discipline which provided rigorous training in quantitative analytics
• Proficiency with programming Python in a Jupyter notebook

• 3+ years of professional experience in a related area

Preferred Skills & Experience

• University teaching experience.

Salary range: $2,000 - $3,000 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

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