Columbiauniversity1
Adjunct Lecturer, Artificial Intelligence of Things (AIOT) (On-Campus, Fall '26)
New York, NY, United States · Part-time
Sponsorship not specifiedDetected 145 days ago
PythonAWSMachine LearningPandasData AnalysisData ScienceData VisualizationEmbedded SystemsCommunicationMentoring
About the role
- Columbia University has been a leader in higher education in the nation and around the world for more than 250 years.
- At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.
Responsibilities
- Lead class lectures, instructional activities, and classroom discussions.
- Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions.
Requirements
- Doctoral degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related).
- Proficiency with Python and Jupyter/pandas/matplotlib for analytics and data visualization
- University teaching experience in project-based or lab-based courses.
- Proficiency with MicroPython for device programming
- Working knowledge of AWS IoT Core (Things, certificates/policies, device shadows) and comfort with basic AWS services used for analytics (e.g., S3, QuickSight/Athena/Glue or equivalent).
- Students will explore IoT architecture, key components, and communication protocols, while gaining hands-on experience with IoT platforms, sensors, and data acquisition devices.
Nice to have
- Preferred Skills & Experience
- Hands-on familiarity with ESP32-class microcontrollers (M5Stack Core2 preferred) and MQTT publish/subscribe patterns.
Skills
- This course provides a comprehensive understanding of IoT technologies and their integration with AI and robotic systems.
Compensation
- $11,000 - $13,000 per semester long course
- Please submit a resume inclusive of university teaching experience.
Equal opportunity
- All your information will be kept confidential according to EEO guidelines.
- Equal Opportunity Employer / Disability / Veteran
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