[Hiring] Adjunct Lecturer, Applied Deep Learning and AI @Columbia University

Role 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 Adversarial Networks (GAN)
  • 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.

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

• Doctorate degree in Computer Science, Data Science, or a related field.
• 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.

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.