ZipRecruiter

Log In

1

Iot Faculty Jobs (NOW HIRING)

Koitecc Solutions

... IoT and cyber-physical systems security, differential privacy, and applied cryptography. The ... The new faculty will have numerous collaboration opportunities with several large initiatives ...

next page

Showing results 1-20

All JobsEducation JobsHigher Education JobsIot Faculty Jobs

Iot Faculty information

What is an IoT faculty?

IoT Faculty are educators or instructors who specialize in teaching courses related to the Internet of Things (IoT). They design and deliver curriculum that covers topics such as sensor networks, embedded systems, cloud computing, and IoT protocols, helping students gain both theoretical and practical knowledge in this rapidly growing field. IoT Faculty may also engage in research, collaborate with industry, and guide students through hands-on projects that prepare them for careers in IoT development and application.

What are the key skills and qualifications needed to thrive as an IoT faculty member?

To thrive as an IoT Faculty member, you need a solid background in electronics, embedded systems, and networking, often supported by a relevant degree and teaching experience. Familiarity with IoT platforms (such as Arduino, Raspberry Pi), programming languages (like Python or C), and certifications in IoT technologies are highly beneficial. Excellent communication, instructional skills, and a passion for mentoring students help you stand out in this educational role. These skills and qualifications are crucial for effectively teaching complex IoT concepts and preparing students for careers in the rapidly evolving Internet of Things sector.

What are some common challenges faced by IoT faculty when keeping course content up to date with industry advancements?

IoT Faculty often encounter the challenge of rapidly evolving technologies, which requires them to continuously update their curriculum to reflect the latest industry trends and tools. Staying current with new protocols, hardware platforms, and software updates can be demanding, as can ensuring that students gain hands-on experience with relevant devices. Collaboration with industry partners and ongoing professional development are key strategies to maintain course relevance and provide students with practical, real-world skills.

What is the difference between Iot Faculty vs Iot Engineer?

AspectIot FacultyIot Engineer
Required CredentialsTypically a master's or PhD in Computer Science, Engineering, or related fields; teaching certifications may be preferredBachelor's or master's in Engineering, Computer Science; certifications like Cisco CCNA, AWS IoT are common
Work EnvironmentAcademic institutions, classrooms, labs, research facilitiesIndustry settings, offices, labs, field deployments
Employer & Industry UsageUniversities, colleges, research institutesTech companies, IoT solution providers, manufacturing, smart home companies
Common Search & Comparison IntentUnderstanding academic roles, teaching positions, research opportunitiesPractical implementation, system development, deployment in IoT projects

While both roles involve IoT technologies, Iot Faculty primarily focuses on teaching and research within academic settings, whereas Iot Engineers are involved in designing, developing, and deploying IoT solutions in industry environments.

What are popular job titles related to Iot Faculty jobs?

For Iot Faculty jobs, the most frequently searched job titles are:

Infographic showing various Iot Faculty job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 97% In-person, and 3% Remote job distribution.

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

New York, NY • On-site

Columbia University
Colleges, Universities, and Professional Schools • 201 - 500 employees
Learn more about Columbia Universityexternal

$2.0K - $3.0K/wk

Part-time

Re-posted 16 days ago

Job description

Company Description
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.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Job Description
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, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.
This course provides a comprehensive understanding of IoT technologies and their integration with AI and robotic systems. Students will explore IoT architecture, key components, and communication protocols, while gaining hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIoT applications for real-time decision-making in manufacturing, public safety, smart cities, healthcare, etc., and addresses the ethical considerations of these technologies.
Combining conceptual learning with practical assignments, the course features weekly lectures and readings on IoT fundamentals and applications, with biweekly quizzes to assess conceptual understanding. Students will further apply their learning through individual assignments and a group term project, ensuring a robust foundation in IoT analytics and AI-powered robotic automation.
Responsibilities
  • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.
  • Evaluate, grade student work and assessments as requested by the course Lecturer.
  • Monitor and address student concerns and inquiries.

Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.
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).

Additional Information
Salary range: $2,000 - $3,000 per semester long course
Please 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

Apply