Adjunct Lecturer, Mathematics for AI (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 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.

The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Mathematics for AI. This course equips students with essential mathematical foundations for understanding and working with artificial intelligence (AI) algorithms. By the end of this course, students will possess a strong mathematical toolkit to confidently tackle the complexities of modern AI algorithms.

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.

Responsibilities

Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions.; Monitor and address student concerns and inquiries.; Evaluate and grade student work and assessments.; Conduct office hours.

Requirements

Doctoral degree in a quantitative disciplinary area; Proficiency with programming Python in a Jupyter notebook; 3+ years of professional experience in a related area

Nice to have

10+ years of related professional experience.; 2+ years of University teaching experience, ideally at the graduate level.