Home › Companies › Columbiauniversity1 › Adjunct Lecturer, Artificial Intelligence of Things (AIOT) (On-Campus, Fall '26)
Adjunct Lecturer, Artificial Intelligence of Things (AIOT) (On-Campus, Fall '26)
Columbiauniversity1 · New York, NY, United States · Active · $11,000–$13,000 / week · SmartRecruiters
Job facts
| Field | Value |
|---|---|
| Company | Columbiauniversity1 |
| Title | Adjunct Lecturer, Artificial Intelligence of Things (AIOT) (On-Campus, Fall '26) |
| Normalized title | - |
| Department / team | Applied Analytics |
| Location | New York, NY, United States |
| Work model | - |
| Employment type | Part Time |
| Salary | $11,000–$13,000 / week |
| Status | active |
| ATS provider | SmartRecruiters |
| Posted / first seen | 2026-02-27 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Columbiauniversity1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through SmartRecruiters. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Applied Analytics. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Columbiauniversity1 |
| Source | 252db8b6-df89-482b-953f-2d4f2f975720 |
| ATS provider | SmartRecruiters |
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.
The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Artificial Intelligence of Things (AIOT).
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
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.
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
Doctoral degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related).
7+ 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 experience, especially in graduate or professional programs.
University teaching 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: $11,000 - $13,000 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
Full job record
| Job ID | 8b2e66c2738efae6d6b7bade6c351732ebd550c2 |
| Org ID | 223130e3-59f2-46de-a88c-89229a25e8c2 |
| Source ID | 252db8b6-df89-482b-953f-2d4f2f975720 |
| Board ID | 252db8b6-df89-482b-953f-2d4f2f975720 |
| Provider | smartrecruiters |
| Provider Job Key | 744000111913840 |
| Title | Adjunct Lecturer, Artificial Intelligence of Things (AIOT) (On-Campus, Fall '26) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York, NY, United States |
| Department | Applied Analytics |
| Team | — |
| Employment Type | part_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | 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. The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Artificial Intelligence of Things (AIOT). 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 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. 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 Doctoral degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related). 7+ 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 experience, especially in graduate or professional programs. University teaching 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: $11,000 - $13,000 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 |
| Salary Min | 11,000 |
| Salary Max | 13,000 |
| Salary Currency | USD |
| Salary Period | week |
| Source URL | https://jobs.smartrecruiters.com/ColumbiaUniversity1/744000111913840-adjunct-lecturer-artificial-intelligence-of-things-aiot-on-campus-fall-26- |
| Apply URL | https://jobs.smartrecruiters.com/ColumbiaUniversity1/744000111913840-adjunct-lecturer-artificial-intelligence-of-things-aiot-on-campus-fall-26-?oga=true |
| First Seen At | 2026-05-31 17:36:11Z |
| Last Seen At | 2026-06-06 19:41:36Z |
| Last Checked At | 2026-06-06 19:41:36Z |
| Last Changed At | 2026-05-31 17:36:11Z |
| Inactive At | — |
| Source Posted At | 2026-02-27 18:22:19Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=columbiauniversity1/date=2026-06-06/2026-06-06T19-41-30-851Z-20a34eae43ceee4fdc40a938c901dd77121f850d242397beae458f49d7707da8.json |
Event Fields
{
"content_hash": "e72823e1504f8a6a484cd3bdae3fbe6e86d4c64b571ede0bd250513e88ba3e04",
"source_hash": "e8d274a8523b53afa4dbe838e187b2f8b0aa21107b5320f3b192502333cb05e3",
"last_changed_at": "2026-05-31T17:36:11.977Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "New York, NY, United States",
"city": "New York",
"region": "NY",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": 13000,
"salary_min": 11000,
"inferred_at": "2026-06-06T19:41:36.094Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "New York, NY, United States",
"city": "New York",
"region": "NY",
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": null,
"salary_period": "week",
"workplace_type": null,
"salary_currency": "USD"
}Extensions
{}Native Structured
{
"id": "744000111913840",
"ref": "https://api.smartrecruiters.com/v1/companies/columbiauniversity1/postings/744000111913840",
"name": "Adjunct Lecturer, Artificial Intelligence of Things (AIOT) (On-Campus, Fall '26)",
"uuid": "72ad1cef-b85d-4924-a04a-4249cb06e048",
"detail": {
"id": "744000111913840",
"name": "Adjunct Lecturer, Artificial Intelligence of Things (AIOT) (On-Campus, Fall '26)",
"uuid": "72ad1cef-b85d-4924-a04a-4249cb06e048",
"jobAd": {
"sections": {
"jobDescription": {
"text": "<p>The School of Professional Studies seeks experienced industry professionals to serve as part-time <a href=\"https://c.smartrecruiters.com/sr-company-attachments-prod-dc5/5a94164be4b009bfee282818/0afe4fbd-5824-4db6-b33c-6708cfac80fe?r=s3-eu-central-1\">Lecturer </a>for a graduate-level course in Artificial Intelligence of Things (AIOT).</p><p>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.</p><p>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.</p><p><strong><em>Responsibilities</em></strong></p><ul><li><p>Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions.</p></li><li><p>Monitor and address student concerns and inquiries.</p></li><li><p>Evaluate and grade student work and assessments.</p></li><li><p>Conduct office hours.</p></li></ul>",
"title": "Job Description"
},
"qualifications": {
"text": "<p><strong>Columbia University SPS </strong>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. </p><p><strong>Requirements</strong></p><ul><li><p>Doctoral degree in a relevant field (Computer Science, Electrical/Computer Engineering, Data Science, Applied Analytics, Information Systems, or closely related).</p></li><li><p>7+ 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).</p></li><li><p>Proficiency with Python and Jupyter/pandas/matplotlib for analytics and data visualization</p></li><li><p>Strong knowledge of AI fundamentals and experience with machine learning applications</p></li><li><p>Strong communication and student mentorship skills; responsiveness on Slack/office hours; ability to manage hardware kits and demos.</p></li></ul><p><strong>Preferred Skills & Experience</strong></p><ul><li><p>University teaching experience, especially in graduate or professional programs.</p></li><li><p>University teaching experience in project-based or lab-based courses.</p></li><li><p>Proficiency with MicroPython for device programming</p></li><li><p>Practical skills with Thonny, UIFlow2, or VS Code, serial/USB drivers (e.g., CP210x), and a macOS/Windows terminal</p></li><li><p>Hands-on familiarity with ESP32-class microcontrollers (M5Stack Core2 preferred) and MQTT publish/subscribe patterns.</p></li><li><p>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).</p></li></ul>",
"title": "Qualifications"
},
"companyDescription": {
"text": "<p>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.</p><p>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.</p>",
"title": "Company Description"
},
"additionalInformation": {
"text": "<p><strong>Salary range:</strong> $11,000 - $13,000 per semester long course<br>\n<br>\nPlease submit a resume inclusive of university teaching experience.</p><p><strong><em>All your information will be kept confidential according to EEO guidelines.</em></strong></p><p><strong>Columbia University is an Equal Opportunity Employer / Disability / Veteran</strong></p>",
"title": "Additional Information"
}
}
},
"jobId": "94defc2f-9152-4a6d-ac51-cb78ee09a2cf",
"active": true,
"company": {
"name": "Columbia University",
"identifier": "ColumbiaUniversity1"
},
"creator": {
"name": "",
"avatarUrl": ""
},
"jobAdId": "f00f8840-2d26-4d7a-8b21-ce0843a2b304",
"applyUrl": "https://jobs.smartrecruiters.com/ColumbiaUniversity1/744000111913840-adjunct-lecturer-artificial-intelligence-of-things-aiot-on-campus-fall-26-?oga=true",
"function": {
"id": "education",
"label": "Education"
},
"industry": {
"id": "higher_education",
"label": "Higher Education"
},
"language": {
"code": "en",
"label": "English",
"labelNative": "English (US)"
},
"location": {
"city": "New York",
"hybrid": false,
"region": "NY",
"remote": false,
"country": "us",
"latitude": "40.7127753",
"longitude": "-74.0059728",
"fullLocation": "New York, NY, United States"
},
"refNumber": "REF1323Z",
"department": {
"id": 1068780,
"label": "Applied Analytics"
},
"postingUrl": "https://jobs.smartrecruiters.com/ColumbiaUniversity1/744000111913840-adjunct-lecturer-artificial-intelligence-of-things-aiot-on-campus-fall-26-",
"visibility": "PUBLIC",
"customField": [
{
"fieldId": "5fff0898d102e3515e48905d",
"fieldLabel": "Course Number",
"valueLabel": "5570"
},
{
"fieldId": "5ad88b18b60a5e486a2d9efa",
"valueId": "3bbef67b-e16f-420a-a14b-df988359c43f",
"fieldLabel": "Employee Job Category",
"valueLabel": "Faculty Job"
},
{
"fieldId": "5ad9ffd26d8bc56863dd9b7a",
"valueId": "a01a9441-a122-48d3-8407-45f2155e4fd4",
"fieldLabel": "Term",
"valueLabel": "2026 FALL"
},
{
"fieldId": "COUNTRY",
"valueId": "us",
"fieldLabel": "Country/Region",
"valueLabel": "United States"
},
{
"fieldId": "5a945d216d8bc505a492dc8e",
"valueId": "default",
"fieldLabel": "Brands",
"valueLabel": "Columbia University"
},
{
"fieldId": "5abbec096d8bc56863dd96eb",
"valueId": "1810e6b8-0f96-4fca-b8e7-a84906e7146e",
"fieldLabel": "Role",
"valueLabel": "Lecturer, Part-time"
},
{
"fieldId": "5a945d216d8bc505a492dc8f",
"valueId": "1068780",
"fieldLabel": "Department",
"valueLabel": "Applied Analytics"
},
{
"fieldId": "5ab2b7b9b60a5e2f7b2c5b2e",
"valueId": "9a8ca717-4cdc-408a-a528-a1d282c58b19",
"fieldLabel": "Division",
"valueLabel": "Masters"
},
{
"fieldId": "5ab2b7766d8bc519b1d9db9d",
"valueId": "ce0cf7f9-c606-43be-b2ea-374fac2c7fd7",
"fieldLabel": "Program",
"valueLabel": "Applied Analytics"
},
{
"fieldId": "5ada008db60a5e486a2d9f4b",
"valueId": "0c6291f7-c010-4b09-9d2a-5471b248fb56",
"fieldLabel": "Academic Program",
"valueLabel": "APAN"
},
{
"fieldId": "5ab3bcdab60a5e2f7b2c5b5c",
"valueId": "6b516b3e-9a6c-4f1e-8591-f59a3aa5b980",
"fieldLabel": "Course Modality",
"valueLabel": "On Campus"
},
{
"fieldId": "6005f3a3e57517446f4f2d3b",
"fieldLabel": "Section Number",
"valueLabel": "001"
}
],
"referralUrl": "https://jobs.smartrecruiters.com/external-referrals/company/ColumbiaUniversity1/publication/72ad1cef-b85d-4924-a04a-4249cb06e048?dcr_ci=ColumbiaUniversity1",
"defaultJobAd": true,
"releasedDate": "2026-02-27T18:22:19.462Z",
"experienceLevel": {
"id": "director",
"label": "Director"
},
"typeOfEmployment": {
"id": "part-time",
"label": "Part-time"
}
},
"company": {
"name": "Columbia University",
"identifier": "ColumbiaUniversity1"
},
"jobAdId": "f00f8840-2d26-4d7a-8b21-ce0843a2b304",
"function": {
"id": "education",
"label": "Education"
},
"industry": {
"id": "higher_education",
"label": "Higher Education"
},
"language": {
"code": "en",
"label": "English",
"labelNative": "English (US)"
},
"location": {
"city": "New York",
"hybrid": false,
"region": "NY",
"remote": false,
"country": "us",
"latitude": "40.7127753",
"longitude": "-74.0059728",
"fullLocation": "New York, NY, United States"
},
"refNumber": "REF1323Z",
"department": {
"id": "1068780",
"label": "Applied Analytics"
},
"visibility": "PUBLIC",
"customField": [
{
"fieldId": "5ad88b18b60a5e486a2d9efa",
"valueId": "3bbef67b-e16f-420a-a14b-df988359c43f",
"fieldLabel": "Employee Job Category",
"valueLabel": "Faculty Job"
},
{
"fieldId": "5ad9ffd26d8bc56863dd9b7a",
"valueId": "a01a9441-a122-48d3-8407-45f2155e4fd4",
"fieldLabel": "Term",
"valueLabel": "2026 FALL"
},
{
"fieldId": "COUNTRY",
"valueId": "us",
"fieldLabel": "Country/Region",
"valueLabel": "United States"
},
{
"fieldId": "5a945d216d8bc505a492dc8e",
"valueId": "default",
"fieldLabel": "Brands",
"valueLabel": "Columbia University"
},
{
"fieldId": "5abbec096d8bc56863dd96eb",
"valueId": "1810e6b8-0f96-4fca-b8e7-a84906e7146e",
"fieldLabel": "Role",
"valueLabel": "Lecturer, Part-time"
},
{
"fieldId": "5a945d216d8bc505a492dc8f",
"valueId": "1068780",
"fieldLabel": "Department",
"valueLabel": "Applied Analytics"
},
{
"fieldId": "5ab2b7b9b60a5e2f7b2c5b2e",
"valueId": "9a8ca717-4cdc-408a-a528-a1d282c58b19",
"fieldLabel": "Division",
"valueLabel": "Masters"
},
{
"fieldId": "5ab2b7766d8bc519b1d9db9d",
"valueId": "ce0cf7f9-c606-43be-b2ea-374fac2c7fd7",
"fieldLabel": "Program",
"valueLabel": "Applied Analytics"
},
{
"fieldId": "5ada008db60a5e486a2d9f4b",
"valueId": "0c6291f7-c010-4b09-9d2a-5471b248fb56",
"fieldLabel": "Academic Program",
"valueLabel": "APAN"
},
{
"fieldId": "5ab3bcdab60a5e2f7b2c5b5c",
"valueId": "6b516b3e-9a6c-4f1e-8591-f59a3aa5b980",
"fieldLabel": "Course Modality",
"valueLabel": "On Campus"
},
{
"fieldId": "5fff0898d102e3515e48905d",
"fieldLabel": "Course Number",
"valueLabel": "5570"
},
{
"fieldId": "6005f3a3e57517446f4f2d3b",
"fieldLabel": "Section Number",
"valueLabel": "001"
}
],
"defaultJobAd": true,
"releasedDate": "2026-02-27T18:22:19.462Z",
"detail_errors": [],
"experienceLevel": {
"id": "director",
"label": "Director"
},
"typeOfEmployment": {
"id": "part-time",
"label": "Part-time"
}
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/8b2e66c2738efae6d6b7bade6c351732ebd550c2?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/223130e3-59f2-46de-a88c-89229a25e8c2JSONGET https://api.bluedoor.sh/job-postings/v1/sources/252db8b6-df89-482b-953f-2d4f2f975720JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/8b2e66c2738efae6d6b7bade6c351732ebd550c2/eventsJSON