Adjunct Associate Faculty, Artificial Intelligence of Things (AIOT) (On-Campus, Fall '26)

Columbia University; New York (NY); On-site; USD 22,320 - 33,480; Part time

Job summary

Columbia University is seeking an Adjunct Associate Faculty member for a part-time position teaching Artificial Intelligence of Things (AIOT) on-campus in Fall '26. The role involves providing subject matter expertise, attending class sessions, and assisting Lecturers in delivering graduate-level education.

The ideal candidate has a graduate degree, relevant industry experience, and strong skills in Python and data visualization. Responsibilities include evaluating student work and facilitating discussions.

Qualifications

• 2+ years of professional experience in IoT/embedded systems, edge computing, or data analytics.
• Ability to monitor and address student concerns effectively.
• Experience with machine learning applications.

Responsibilities

• Attend all class sessions and assist with instruction.
• Evaluate and grade student work as requested.
• Lead breakout sessions and facilitate discussions.

Skills

Python

Jupyter/pandas/matplotlib

AI fundamentals

Strong communication skills

Mentorship skills

Education

Graduate degree in a relevant field

Tools

MicroPython

AWS IoT Core

ESP32-class microcontrollers

Job description

Adjunct Associate Faculty, Artificial Intelligence of Things (AIOT) (On-Campus, Fall '26)

Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Artificial Intelligence of Things (AIOT). An Associate is a faculty line junior to a Lecturer, providing subject matter expertise and supporting the instructional process for a course section.

Responsibilities

• Attend all class sessions, assist with instruction, lead breakout sessions, and facilitate discussions.
• Evaluate, grade student work and assessments as requested by the course Lecturer.
• Monitor and address student concerns and inquiries.

Requirements

• Graduate degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related).
• 2+ years of professional experience in one or more of: IoT/embedded systems, edge computing, cloud IoT platforms, data analytics/ML, or adjacent industries (e.g., smart devices, manufacturing/IIoT, healthcare IoT).
• Proficiency with Python and Jupyter/pandas/matplotlib for analytics and data visualization.
• Strong knowledge of AI fundamentals and experience with machine learning applications.
• Strong communication and student mentorship skills; responsiveness on Slack/office hours; ability to manage hardware kits and demos.

Preferred Skills & Experience

• University teaching or TA experience, especially in graduate or professional programs.
• University teaching/TA experience in project-based or lab-based courses.
• Proficiency with MicroPython for device programming.
• Practical skills with Thonny, UIFlow2, or VS Code, serial/USB drivers (e.g., CP210x), and a macOS/Windows terminal.
• Hands‑on familiarity with ESP32-class microcontrollers (M5Stack Core2 preferred) and MQTT publish/subscribe patterns.
• 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).

Salary range: $2,000 - $3,000 per semester long course.

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.