Adjunct Lecturer, Applied Deep Learning and AI (On-Campus, Fall '26) Part‑time Employee Job Category: Faculty Job Term: 2026 FALL Department: Applied Analytics Division: Masters Program: Applied Analytics Academic Program: APAN The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, and leverage the expertise of students and faculty. The School 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 and statistical machine learning, covering supervised learning, support vector machines, neural networks, convolutional neural networks, word embeddings, attention mechanisms, transformers, encoder‑decoder architectures, generative adversarial networks, and reinforcement learning. Practical applications demonstrate how to prepare, train, test, and validate models. 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. 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). 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. Salary range: $11,000 – $13,000 per semester long course. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran. #J-18808-Ljbffr
Adjunct Lecturer, Applied Deep Learning and AI (On-Campus, Fall '26) • New York, NY, United States
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