Adjunct Lecturer in Artificial Intelligence of Things (AIOT) - Fall '26

Join the School of Professional Studies at Columbia University as an Adjunct Lecturer for our graduate-level course in Artificial Intelligence of Things (AIOT), commencing in Fall 2026. We are seeking seasoned industry professionals passionate about sharing their expertise in this rapidly evolving field.This course offers an in-depth exploration of IoT technologies and their integration with AI and robotics. Engage students in critical discussions about IoT architecture, essential components, and communication protocols, while providing them with practical experience using IoT platforms, sensors, and data acquisition tools. The curriculum focuses on real-world AIoT applications that facilitate immediate decision-making in sectors such as manufacturing, public safety, smart cities, and healthcare, while also addressing the ethical implications of these innovative technologies.Blending theoretical knowledge with hands-on assignments, the course includes weekly lectures, readings on the fundamentals of IoT, and biweekly assessments to evaluate student comprehension. Participants will demonstrate their understanding through individual assignments and a collaborative term project, laying a strong foundation in IoT analytics and AI-driven robotic automation.

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.

The School of Professional Studies at Columbia University is seeking passionate and qualified professionals to join our team as part-time Adjunct Lecturer for a graduate-level course titled Mathematics for Artificial Intelligence. This course empowers students with critical mathematical skills necessary for comprehending and utilizing artificial intelligence (AI) algorithms. By the conclusion of the course, students will be equipped with a robust mathematical toolkit to adeptly navigate the challenges posed by contemporary AI algorithms.Key Responsibilities:Facilitate engaging class lectures, instructional activities, and dynamic classroom discussions. Attendance at all class sessions is mandatory.Provide support to students by monitoring and addressing their concerns and inquiries.Assess and grade student assignments and evaluations.Hold regular office hours for student consultations.

Columbia University’s Master's in Applied Analytics program is actively seeking accomplished industry professionals to join as part-time Lecturers for the graduate-level course on Managing Data.The Fundamentals of Data Engineering course equips students with essential knowledge to confidently manage data. As analytic teams collaborate with technology partners, it's crucial to understand team-specific languages and techniques that may hinder cooperation. This course offers a comprehensive overview of data technology concepts, including database engines and related technologies, while introducing foundational data principles, governance processes, and organizational requirements necessary to ensure data quality and address related challenges.Key ResponsibilitiesConduct engaging lectures, instructional activities, and facilitate classroom discussions while attending all class sessions.Provide guidance and support to students by addressing their concerns and inquiries.Assess and grade student assignments and evaluations.Hold regular office hours for student consultations.

The School of Professional Studies at Columbia University is actively seeking experienced industry professionals to join our team as Adjunct Lecturers in the exciting field of Project Management for the upcoming Fall 2026 semester. As part of our commitment to providing top-notch education, you will have the opportunity to develop and teach in-person courses in our innovative M.S. in Project Management program, designed to equip students with essential strategic, analytical, and leadership skills necessary for successful project management across diverse industries.For a detailed overview of the program's curriculum, please click here. Interested candidates are encouraged to specify their areas of expertise in their cover letters, particularly indicating their qualifications to teach one or more of the following core courses:Project Management Fundamentals: Understand the core principles, frameworks, and methods essential for effective project management.Project Planning, Scheduling, and Control: Explore the foundations of project planning, critical path analysis, and performance monitoring.Finance and Accounting for Managers: Apply financial principles within the context of project management.Leadership and Team Dynamics: Learn the principles of leadership, team collaboration, and high-performance team management.Capstone Project: Engage in a real-world, project-based capstone that synthesizes learning across the curriculum.Key Responsibilities:Facilitate dynamic in-person lectures, instructional activities, and engaging classroom discussions.Assess student submissions, providing timely feedback and grades.Serve as the primary point of contact for student inquiries and concerns.Conduct weekly office hours to support student learning.Prepare and maintain course materials in Canvas, Columbia University's learning management system.New part-time lecturers must complete Canvas training upon appointment.Participate in Project Management faculty meetings.If responsible for course design, additional duties include:Developing course objectives that align with broader program learning outcomes.Creating activity maps that connect course activities with objectives to ensure industry relevance.Drafting a comprehensive syllabus (course description, schedule, grading criteria, and assessments) for committee review and approval.Collaborating with Instructional Design to develop course materials through an interactive process.

The School of Professional Studies at Columbia University is actively seeking seasoned industry experts to join our faculty as part-time Lecturers for our graduate-level course in Cloud Computing. As primary instructors, Lecturers play a crucial role in shaping the academic environment and fostering a vibrant faculty community.This course serves to immerse analytics students in the essential concepts and practical applications of cloud computing, with a focus on infrastructure management and the deployment of services and applications. The curriculum is designed to equip students with hands-on skills necessary for building distributed and scalable analytics applications using cloud technologies.Key ResponsibilitiesDeliver engaging lectures, facilitate instructional activities, and lead classroom discussions. Commitment to attending all scheduled class sessions.Proactively address student concerns and inquiries to ensure a supportive learning environment.Assess and grade student assignments and evaluations with fairness and transparency.Hold regular office hours for student consultations and guidance.

The School of Professional Studies at Columbia University is actively seeking seasoned industry professionals to join our team as part-time Lecturers for the graduate-level course in Analytics for Cybersecurity Management. This course provides a thorough introduction to essential cybersecurity concepts, including network security, threat detection, and vulnerability management. It emphasizes the transformative potential of emerging AI and machine learning techniques in contemporary defense strategies. Students will engage with critical frameworks, sophisticated tools, and real-world case studies that illustrate how analytics supports strategic threat intelligence, incident response, and compliance with regulations.Key Responsibilities:Facilitate engaging class lectures, instructional activities, and discussions while attending all class sessions.Address student concerns and inquiries promptly and effectively.Assess and grade student assignments and performance.Hold regular office hours for student support.

Join Columbia University as an Adjunct Lecturer in Applied Deep Learning and Artificial Intelligence for the Fall 2026 semester. This role offers a unique opportunity to engage with students and impart knowledge in a rapidly evolving field. As part of our esteemed faculty, you will have the chance to contribute to the academic growth of our students and help shape the future of technology.

Columbia University School of Professional Studies is on the lookout for distinguished industry professionals to join our team as adjunct Lecturers. This role involves developing and delivering a variety of impactful courses within the M.S. in Political Analytics program, which uniquely integrates the realms of politics and advanced quantitative methodologies to enhance data-driven decision-making and effective communication in political contexts.For a detailed overview of the program's curriculum, please visit here. Interested candidates are encouraged to indicate their specific areas of expertise in their cover letters, as well as the types of courses they are qualified to teach. Current courses include:Big Data & Political StrategyCampaign Finance & Fundraising AnalyticsData Science for Political AnalyticsElectoral Data & Predictive ModelingThis position may involve course development, leading syllabus approval processes, and direct teaching responsibilities.Key ResponsibilitiesConduct in-person lectures, instructional sessions, and facilitate classroom discussionsAssess student submissions and assign gradesAddress student inquiries and serve as the primary point of contact for questionsMaintain weekly office hours for student supportPrepare, manage, and enhance course materials via Canvas, Columbia University’s learning management systemNew part-time Lecturers at SPS must complete Canvas trainingParticipate in Political Analytics faculty meetingsFor those tasked with designing courses, additional responsibilities include:Establishing course objectives that align with program-wide learning outcomesCreating activity maps that connect course activities to objectives, ensuring relevance to the industryDrafting comprehensive syllabi for review and approval by the Program Curriculum Committee and the Committee on Instruction (COI)Collaborating with Instructional Design to create course materials through a consultative approach, which includes developing dynamic instructional media, maintaining established courses, and providing timely assistance for specific needsThis adjunct Lecturer position offers a unique opportunity to educate and mentor students in the dynamic field of political analytics while fostering valuable professional relationships.

Columbia University's School of Professional Studies (SPS) is actively seeking qualified candidates for the role of part-time Adjunct Lecturer to join our esteemed faculty team for the graduate-level Capstone course titled Solving Real World Problems with Analytics. This course serves as the pivotal final experience for students pursuing a Master of Science degree in Applied Analytics, where they will leverage their academic knowledge to tackle real-world challenges through consulting engagements with leading corporate or institutional sponsors. Our Capstone sponsors encompass a diverse array of industries, including finance, healthcare, consumer retail, digital media, and non-profit organizations, ranging from large global corporations to innovative startups and esteemed nonprofits.As an Adjunct Lecturer, you will serve as a primary instructor and an integral part of our faculty community.Key Responsibilities:Attend all scheduled class sessions, held weekly on either Wednesday from 6:10 PM to 8 PM ET, Thursday from 6:10 PM to 8 PM ET, or Thursday from 8:10 PM to 10 PM ET.Act as a mentor and coach to students, facilitating communication between students and corporate project sponsors, and participating in meetings with sponsor companies and student project teams.Address student inquiries and concerns effectively.Hold regular office hours to provide additional support to students.Evaluate and grade student submissions and assessments.

Columbia University’s School of Professional Studies (SPS) is eager to invite qualified candidates to apply for a part-time position as an Adjunct Lecturer. This role involves teaching a graduate-level course focused on AI User Interfaces for Analytics. The course is designed to provide students with an in-depth understanding of user experience (UX) design principles while exploring effective techniques and best practices for developing user interfaces (UIs). Participants will engage in creating intuitive, interactive, and visually compelling websites and dashboards that highlight AI-generated insights. The curriculum encompasses the entire lifecycle from design to implementation and evaluation of UIs, ensuring students acquire practical experience with web development technologies including HTML, CSS, JavaScript, and associated cloud services. Moreover, the course incorporates advanced AI technologies to facilitate the creation of intelligent and interactive UIs.Key Responsibilities:Deliver engaging lectures, lead instructional activities, and foster classroom discussions. Classes typically convene weekly for up to 2 hours.Address student inquiries and concerns effectively.Evaluate and grade student assignments and assessments.Hold regular office hours for student consultations.

Columbia University's School of Professional Studies (SPS) is seeking qualified candidates for a part-time position as an Adjunct Lecturer to instruct a graduate-level course titled Introduction to Blockchain, Cryptocurrencies & Analytics. This course is designed for students pursuing a Master of Science degree in Applied Analytics and will cover foundational concepts in blockchain technology, cryptocurrency mechanisms, cryptographic protocols, hashing, digital signatures, transaction chaining, mining based on proof of work, and smart contracts.

Columbia University is seeking a dedicated and knowledgeable Adjunct Lecturer to teach Survey and Polling Methodology on our campus for the Fall 2026 and Spring 2027 semesters. This role offers the opportunity to engage with students and contribute to their academic growth in the field of political analytics.

Join the International Research Institute of Climate and Society as an Adjunct Lecturer in Strategic Communication specializing in Digital Media & Analytics. This role offers a unique opportunity to engage with students through both on-campus and hybrid learning environments. You will be responsible for delivering high-quality instruction, fostering critical thinking, and guiding students in understanding the intricacies of strategic communication in the digital age.

The School of Professional Studies at Columbia University invites seasoned professionals in the finance sector to join our academic community as part-time Lecturers for the graduate-level course on Financial Securities Analysis and Portfolio Management. As primary instructors, Lecturers play a crucial role in shaping the educational experience and fostering engagement within the faculty community. This course provides an in-depth exploration of financial securities analysis and investment strategy design, covering key topics such as theoretical foundations, valuation models, and active portfolio management practices.Key Responsibilities:Deliver engaging lectures and lead instructional activities and classroom discussions. Ensure attendance at all scheduled class sessions.Proactively address and resolve student queries and concerns.Assess and grade student assignments and evaluations.Hold regular office hours to provide additional support to students.

Columbia University is seeking experienced analytics professionals to join our faculty as part-time Adjunct Associate Faculty for a graduate-level course titled Analytics for Cybersecurity Management. This role offers a unique opportunity to contribute your subject matter expertise and support the instructional process for aspiring cybersecurity leaders. Engaging in this capacity will provide valuable exposure to the academic environment at Columbia University.This course serves as a comprehensive introduction to foundational cybersecurity principles, including network security, threat detection, and vulnerability management. It emphasizes the transformative impact of emerging technologies such as AI and machine learning on modern defense strategies. Participants will engage with key frameworks and advanced tools through real-world case studies, gaining insights into the role of analytics in effective threat intelligence, incident response, and regulatory compliance.Students will enhance their practical skills through hands-on exercises and interactive assignments, culminating in a project focused on automating vulnerability analysis. They will learn critical tasks such as log parsing, vulnerability classification, dashboard visualization, and AI-driven anomaly detection, while also addressing ethical, legal, and regulatory issues in cybersecurity. By the conclusion of the course, participants will be equipped to design proactive defense measures and adeptly navigate diverse threat landscapes, leveraging AI and analytics to bolster digital security against evolving cyber threats.Key ResponsibilitiesAttend all class sessions, assist with instruction, lead breakout sessions, and facilitate engaging discussions.Evaluate and grade student assignments and assessments as directed by the course Lecturer.Monitor student progress and address any concerns or inquiries in a timely manner.

Normal Computing | Transformative OpportunitiesAt Normal Computing, we are at the forefront of innovation, developing the essential software and hardware that propel technology forward. Our contributions support the semiconductor industry and critical AI infrastructures, impacting the systems that power our everyday lives. Our collaborative team spans across dynamic cities including New York, San Francisco, Copenhagen, Seoul, and London.Your Role in Our Vision:We are in search of an AI Engineer to create production systems capable of interpreting extensive technical documents, such as chip design specifications, and transforming them into executable code. You will deliver tangible improvements to our customers on a weekly basis, while exploring the cutting-edge possibilities of AI in hardware through reinforcement learning, agentic coding, and superior software engineering practices.Key Responsibilities:Oversee the entire AI development lifecycle from initial concept to production deployment and iterative enhancements.Develop and implement solutions powered by large language models (LLMs) to derive insights from intricate technical specifications.Navigate multi-modal complexities and investigate multi-agent and reinforcement learning methodologies for generating agentic code and utilizing tools effectively.Formulate strategies aimed at managing latency, output variance, and ensuring robust error handling at scale.Collaborate with product and engineering teams to seamlessly integrate AI functionalities into our platform.Mentor junior engineers and set best practices for AI development.What Makes You Ideal for This Role:Demonstrable experience in deploying production-level AI systems involving language models, particularly those focused on document comprehension and agentic workflows.Strong software engineering background with experience in distributed systems and production-quality code.Proficient in Python and contemporary machine learning frameworks such as PyTorch, Hugging Face, and Transformers.Hands-on expertise in prompt engineering, fine-tuning, and deploying large language models.Aptitude for managing, cleaning, and preprocessing large-scale, diverse datasets.Familiarity with AI safety, bias mitigation, and ethical considerations.Ability to articulate complex AI concepts to both technical and non-technical audiences.Bonus Qualifications:Experience with deploying AI systems in production settings, especially in the context of document understanding.

Join our dynamic team at NBCUniversal as an Artificial Intelligence Engineer. In this pivotal role, you will leverage cutting-edge AI technologies to develop innovative solutions that enhance our media and entertainment offerings. Collaborate with cross-functional teams to implement AI-driven processes and contribute to projects that will shape the future of content creation and distribution.

Role overview Adonis seeks a Director of Artificial Intelligence to lead its AI and machine learning strategy. This executive position combines advanced technical expertise with healthcare experience, guiding the direction, development, and oversight of AI initiatives throughout the organization. The Director will play a key role in ensuring Adonis delivers compliant and effective AI solutions for healthcare clients. AI is central to Adonis’s mission of improving financial outcomes in healthcare. The company values curiosity, rigor, and integrity in its approach, aiming to achieve measurable results for both internal teams and clients. In this role, the Director will define the vision for how AI powers Adonis’s revenue cycle management products, with a focus on helping healthcare providers recover more revenue, reduce manual work, and build scalable, intelligent financial systems. Main responsibilities AI strategy and vision: Create and carry out an AI/ML strategy that aligns with business goals and healthcare industry needs. Incremental value delivery: Balance long-term AI projects with near-term initiatives that produce real results in revenue cycle management. Team leadership: Mentor and guide Data Science and Machine Learning teams, fostering a culture of innovation and high standards. AI governance and compliance: Build and maintain an AI governance framework to ensure all solutions meet healthcare regulatory requirements, such as HIPAA and FDA guidelines. Solution architecture: Design scalable, production-ready AI and ML systems that deliver value to healthcare customers. Demonstrating value: Clearly communicate the benefits of Adonis’s AI solutions to customers, partners, and stakeholders. MLOps best practices: Promote effective processes for deploying, monitoring, and maintaining AI models in production. Cross-functional collaboration: Work closely with Product, Engineering, and other teams to integrate AI into company initiatives. Location This position is based in New York City.

Columbia University is on the lookout for analytics professionals to join as part-time Adjunct Associate Faculty for an advanced course on Applied Generative AI in Fall 2026. This role offers an incredible opportunity to gain firsthand experience in graduate-level teaching while contributing to the academic community.The Applied Generative AI course introduces students to the fascinating field of generative modeling, a vital aspect of machine learning. Participants will explore theoretical foundations, practical applications, and gain hands-on experience using high-level APIs and open-source foundational models. The curriculum covers essential methodologies for employing, fine-tuning, and programmatically working with cutting-edge Generative AI tools. Students will also delve into the intricacies of low-level model implementations, empowering them to train and understand models based on their data, from foundational principles. Various generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers, will be examined, with applications spanning text, image, audio, and video generation.Key ResponsibilitiesParticipate in all class sessions, assist with instructional duties, lead breakout sessions, and facilitate engaging discussions.Assess and grade student assignments and evaluations as directed by the course Lecturer.Address student inquiries and concerns in a timely and supportive manner.