Adjunct Lecturer, Applied Deep Learning and AI (Online, Fall '26)
Job Description
The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Applied Deep Learning and AI. This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. Lecturers are the primary instructors for courses and an invaluable component of the faculty community.
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
Preferred Skills & Experience
10+ years of related professional experience.
2+ years of University teaching experience, ideally at the graduate level.
Strong verbal and written skills for explaining concepts clearly.
Additional Information
Please submit a resume inclusive of university teaching experience.
** Columbia University is an Equal Opportunity/Affirmative Action employer.**
_ All your information will be kept confidential according to EEO guidelines._
Salary range: $11,000 - $13,000 per semester long course