Adjunct Lecturer, Applied Deep Learning and AI at Columbia University - ScoutJobs - The AI-curated global job board
Skip to content
Columbia University
Posted 9 hours ago

Adjunct Lecturer, Applied Deep Learning and AI

Columbia UniversityAdjunct Lecturer, Applied Deep Learning and AI

Requirements

Doctorate in Computer Science or Data Science, Proficiency in Python, Knowledge of deep learning frameworks, Experience with CNNs, RNNs, and LLMs

Skills

PythonPyTorchTensorFlow

About the role

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
  • Familiarity with deep learning frameworks such as TensorFlow or PyTorch
  • Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques
  • Hands-on experience with deep learning projects and data manipulation

Preferred Qualifications

  • 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

About the Company

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. The School of Professional Studies offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combining theory with practice.

ScoutJobs Agent

Get matches like this delivered daily

Sign up free — we'll pull jobs that fit your CV from across the web and rank them for you.

Get started — it's free

Adjunct Lecturer, Applied Deep Learning and AI

Columbia University · New York

Sign up to apply