Adjunct Associate Faculty, Applied Deep Learning and AI (On-Campus, Fall '26)

The Applied Analytics program is seeking data analytics professionals to serve as a part-time Associate for a graduate-level course called 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. 

An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.

Responsibilities

• Attend all on-campus class sessions, assist with instruction, lead breakout sessions, facilitate discussions.

• Evaluate, grade student work and assessments as requested by the course Lecturer.

• Monitor and address student concerns and inquiries

• Conduct office hours.