Adjunct Associate Faculty, Applied Deep Learning and AI (On-Campus, Fall '26)
This adjunct role requires expertise in teaching advanced deep learning concepts like transformers and GANs, with hands-on experience in model training, validation, and practical AI applications. Ideal for professionals with strong academic or industry experience in applied AI and a passion for mentoring graduate students in cutting-edge machine learning techniques.
Skills required
About this role
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.
Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.
Requirements
- Graduate degree in Computer Science, Data Science, or a related field (Completing relevant coursework such as Deep Learning, Machine Learning, and Statistics courses).
- Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques.
- Hands-on experience with deep learning projects and data manipulation.
- 3 years of professional experience in a role related to applied analytics
Preferred Skills & Experience
- Strong verbal and written skills for explaining concepts clearly.
- University teaching experience in related subjects
Additional Information
Salary range: $2,000 - $3,000 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
