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

Columbia University · columbia.edu
New YorkMid level3+ yrsPart-time
Apply on Columbia University’s site

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The job in short

Mathematics for AI teaching.

Python

Details

Found
25 d ago · posted 2026-02-27
Location as listed
New York, NY, US
Role
Teacher / Tutor
Source
The company’s own careers site

Full description

Company 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. Job Description 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. 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. Qualifications 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 • Doctoral degree in a quantitative disciplinary area • Proficiency with programming Python in a Jupyter notebook • 3+ years of professional experience in a related area Preferred Skills & Experience • 10+ years of related professional experience. • 2+ years of University teaching experience, ideally at the graduate level. Additional Information 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

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