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

Columbia University; New York (NY); On-site; USD 22,320 - 33,480; Part time

Job summary

Columbia University is seeking an Adjunct Associate Faculty member to teach Mathematics for AI on-campus for the Fall '26 semester. This part-time role involves assisting with instruction, leading breakout sessions, and evaluating student work.

The ideal candidate will have a graduate degree in applied analytics or related fields, proficiency in Python, and at least three years of professional experience. University teaching experience is preferred.

Qualifications

• Must have 3+ years of professional experience in a related area.
• University teaching experience preferred.

Responsibilities

• Attend all class sessions and assist with instruction.
• Lead class lectures and facilitate discussions.
• Evaluate and grade student work and assessments.

Skills

Proficiency with programming Python in a Jupyter notebook

Professional experience in analytics

Expertise in quantitative analytics

Education

Graduate degree in applied analytics, data science, or related discipline

Job description

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

• Part-time
• Employee Job Category: Faculty Job
• Term: 2026 FALL
• Role: Associate, Part-time
• Department: Applied Analytics
• Division: Masters
• Program: Applied Analytics
• Academic Program: APAN

Seeking analytics professionals to serve as a part-timeAssociate 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

All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran.