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Adjunct Associate Faculty in Artificial Intelligence of Things (AIOT)

On-site Part-time

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Qualifications

Columbia University School of Professional Studies operates under a scholar-practitioner faculty model, allowing students to learn from faculty with exceptional academic credentials and practical industry accomplishments. Qualifications:A graduate degree in a relevant field such as Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or a closely related discipline. At least 2 years of professional experience in areas such as IoT/embedded systems, edge computing, cloud IoT platforms, or data analytics/machine learning, along with experience in related industries like smart devices, manufacturing/IIoT, or healthcare IoT. Proficiency in Python and tools like Jupyter, Pandas, and Matplotlib for data analytics and visualization. Strong understanding of AI fundamentals and hands-on experience with machine learning applications. Excellent communication skills and a commitment to student mentorship.

About the job

Columbia University is seeking skilled analytics professionals to join us as part-time Adjunct Associate Faculty for a graduate-level course on Artificial Intelligence of Things (AIOT) starting in Fall 2026. This role provides an exceptional opportunity to engage in graduate-level teaching while contributing subject matter expertise and supporting the instructional process.

The course aims to equip students with a thorough understanding of IoT technologies and their integration with AI and robotics. Participants will delve into IoT architecture, critical components, and communication protocols, and will gain hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIOT applications for real-time decision-making in various sectors, including manufacturing, public safety, smart cities, and healthcare, while also addressing ethical considerations associated with these technologies.

Through a combination of conceptual learning and practical assignments, the course features weekly lectures, readings on IoT fundamentals, and biweekly quizzes to evaluate understanding. Students will apply their knowledge through individual assignments and a collaborative term project, ensuring a solid foundation in IoT analytics and AI-driven robotic automation.

About Columbia University

Columbia University has been a pioneer in higher education for over 250 years, dedicated to attracting and nurturing the brightest minds in pursuit of greater human understanding, groundbreaking discoveries, and societal service. The School of Professional Studies offers innovative programs that bridge disciplinary gaps, merging theory with practice, leveraging the expertise of our students and faculty, and connecting global communities. With a wide array of professional master's degrees, certificate programs, summer courses, and more, the School transforms knowledge and understanding for the greater good.

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