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Job DescriptionCompany 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 seventeen 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 The School of Professional Studies seeks experienced industry professionals to serve as part-time Associate for a graduate-level course in Cloud Computing. An Associate is a faculty line junior to a Lecturer who 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 introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. 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 Computer Science, Software Engineering, or related field * Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming * Experience with the Linux operating system, cloud virtualization and storage systems * 3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud) * Knowledge of Python programming language Preferred Skills & Experience * University teaching experience * Experience with setting up and configuring Google Cloud Platform services * Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes Additional Information 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/Affirmative Action employer.

Job DescriptionCompany 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 seventeen 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 The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Analytics for Cybersecurity Management. This course offers a comprehensive introduction to core cybersecurity principles, encompassing network security, threat detection, and vulnerability management, while highlighting how emerging techniques in AI and machine learning can transform modern defense strategies. Students will explore key frameworks, advanced tools, and real-world case studies, gaining insight into how analytics underpins effective threat intelligence, incident response, and regulatory compliance. 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. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in a quantitative disciplinary area * 3+ years of professional experience in roles such as Security Operations (SOC), Threat Intelligence, Incident Response, Security Engineering, Vulnerability Management, Cloud Security, or Applied Data Science/ML for security within industries like technology, finance, healthcare, consulting, or government. * Python proficiency for data parsing/ETL, log analysis, and basic analytics (e.g., pandas, simple scikit-learn workflows). * Comfort with shell scripting (PowerShell and/or Bash) and core OS tools for processes, networking, and files. * Strong communication and feedback skills for guiding graduate students; dependable, organized, and detail-oriented Preferred Skills & Experience * 10+ years of related professional experience. * 2+ years of University teaching experience, ideally at the graduate level. * Experience with cloud security (IAM, least privilege, security groups, logging) and common tools (e.g., CloudTrail/Defender for Cloud). * Familiarity with SOAR concepts/workflows and alert triage/runbooks. * Practical knowledge of security/privacy frameworks and regs (e.g., NIST CSF, HIPAA, GDPR) and ethical handling of sensitive data. * Experience supporting course operations (Canvas/LMS, rubric-based grading, timely feedback, academic integrity processes, managing small-group activities). * Track record of mentoring early-career professionals or graduate students and collaborating in diverse, remote teams. Additional Information All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany 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 seventeen 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 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. 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 * 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). Additional Information Salary: $13,374.98 per semester-length course Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany 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 in pursuit of greater human understanding, pioneering new 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 nineteen 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 Columbia University School of Professional Studies seeks industry professionals for the role of adjunct Lecturer to develop and teach Technology Integration in Project Management, a core course in the school’s new M.S. in Project Management program. The program equips individuals with the strategic, analytical, and leadership skills essential for a successful career managing complex projects across industries and borders. The course of Technology Integration in Project Management explores the integration of technology into modern project management, equipping students with the skills to navigate digital transformation and technology adoption in complex project environments. Students will gain hands-on experience with project management information systems (PMIS) and enterprise platforms such as MS Project, Asana, Trello, SAP, and Oracle Primavera, while also learning to leverage AI, automation, and data analytics tools like Power BI to enhance decision-making and performance monitoring. The course emphasizes the use of agile and hybrid methodologies supported by tech-enabled tools, preparing students to lead projects with efficiency, adaptability, and innovation in digitally driven organizations. Responsibilities * Lead in-person class lectures, instructional activities, and classroom discussions * Evaluate student work and grade assignments * Monitor student concerns and inquiries, and be the first point of contact for student questions * Hold weekly office hours * Prepare, maintain, and enhance the course in Canvas, Columbia University’s learning management system for onsite and online courses * Part‐time Lecturers who are new to SPS must complete Canvas training (online learning management system) * Attend Project Management faculty meetings * If assigned to design the course, responsibilities also include: * Develop course objectives that align with program-wide learning outcomes * Create activity maps tying course activities to objectives, ensuring industry relevance * Draft a detailed syllabus (course description, schedule, grading rubric, and assessments) for review and approval by the Program Curriculum Committee and the Committee on Instruction (COI). * Collaborate with Instructional Design to develop course materials through a consultative process. This includes partnering on course development (aligning objectives, materials, and assessments), creating dynamic instructional media (videos, infographics, and interactive resources), maintaining established courses with updates and troubleshooting, and receiving just-in-time assistance for targeted needs. Serving as an adjunct Lecturer provides an outstanding opportunity to educate and mentor students in the field of project management as well as to form a rewarding professional relationship with Columbia University’s world-class faculty. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied professional setting. Requirements * A master’s degree in engineering (e.g., civil, mechanical, or industrial), construction management, project management, operations research, technology management, business analytics, or data science (with a project management focus) * At least 8 years of experience in roles such as IT Project Manager, Technology Consultant, Digital Transformation Lead, or Systems Engineer * Hands-on experience with software selection, implementation, and integration in a project setting * Experience in cross-functional technology deployment across sectors (e.g., construction, manufacturing, tech, services) * PMP or equivalent certifications preferred * A passion for teaching, strong interpersonal and communication skills, and the ability to connect academic material to contemporary industry practices. Preferred Skills & Experience * A terminal degree in one of the above mentioned disciplines * 2+ years graduate-level university teaching experience Additional Information Compensation Range - $10,000 - $15,000 per semester-length course. Review of applications begins immediately and will continue until positions are filled. All applicants, please provide: * A resume/CV inclusive of university teaching experience -- highlight teaching at the graduate level * A cover letter * Evidence of teaching effectiveness (e.g., student evaluations of teaching, teaching observation summaries, etc.) All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionCompany 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 in pursuit of greater human understanding, pioneering new 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 seventeen 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 Job Description Seeking analytics professionals to serve as a part-time Associate for a graduate level course on AI User Interfaces for Analytics. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a couse section. Serving as an Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • Evaluate, grade student work and assessments as requestQualifications 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 Computer Science, Information Technology, or related discipline, • Proficiency in HTML/CSS, JavaScript, and Python, • Good understanding of UX design and data visualization principles, • 3+ years related professional experience., • University teaching experience., • Experience with cloud services on AWS, GCP, or Azure, • Any experience applying generative AI models for visualization Additional Information Salary: $3,343.74 per semester-length course Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany 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 seventeen 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 The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Financial Securities Analysis and Portfolio Management. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. This course introduces students to the study of analyzing information to evaluate financial securities and design investment strategies. This course provides an intensive introduction to major topics in investments and covers topics in theoretical foundation, valuation models and analysis of major asset classes, and the practice of active portfolio management. 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. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in Finance or a related field * Professional experience related to financial securities analysis and portfolio management * Proficiency in Python; e.g. using libraries for data manipulation, statistical analysis, machine learning implementations, and data visualization. Preferred Skills & Experience * 10+ years of related professional experience. * 2+ years of University teaching experience, ideally at the graduate level. * Excellent written and oral communication skills with the ability to present complex material to students unfamiliar with a subject Additional Information Salary: $13,374.97 per semester length course. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany 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 seventeen 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 The School of Professional Studies seeks candidates to serve as a part-time Associate for a graduate- level course in Analytics for Business Operations Management. 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 teaches students how to apply analytical techniques to optimize operational decision- making, improve efficiency, and solve real-world challenges in operations management. Students will develop practical skills in topics such as process analysis, forecasting, queuing theory, simulation, optimization, inventory analysis, project management, supply chain management, and lean operations. The course integrates lectures and coding exercises to ensure a balance between conceptual learning and practical application across multiple industries. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • 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 and a record of accomplishment as practitioners in an applied industry setting. Requirements • University teaching experience., • Experience applying Python to real-world operations management problems., • Ability to mentor students and provide constructive feedback on analytical work. Additional Information Salary: $3,343.74 per semester-length course Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany 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 seventeen 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 Mathematics for AI. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a couse section. Serving as an Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University. Responsibilities • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions., • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions., • 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 and a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to applied analytics, data science or another discipline which provided rigorous training in quantitative analytics Proficiency with programming Python in a Jupyter notebook * 3+ years of professional experience in a related area Preferred Skills & Experience • University teaching experience. Additional Information Salary: $3,343.74 per semester-length course Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany 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 seventeen 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: $3,343.74 per semester-length course Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany 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 in pursuit of greater human understanding, pioneering new 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 seventeen 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 Columbia University’s Master's in Applied Analytics program seeks experienced industry professionals to serve as a part-time Lecturer for a graduate-level course in Managing Data. The Managing Data course provides students with a foundational context for managing data so that it can be leveraged and used with confidence. Analytic teams work closely with technology partners in managing data. Languages and techniques unique to each team can impede cooperation. To bridge this gap, this course provides a broad overview of data technology concepts including database engines and associated technologies and exposes students to foundational data principles, governance processes, and organizational prerequisites needed to overcome challenges to ensure data quality. Responsibilities * Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate, grade student work and assessments. * Conduct office hours. 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 * Doctoral degree or equivalent required, in an area related to data science, statistics, computer science, or another discipline that provided rigorous training in quantitative analytics. * Knowledge of databases, topics in Big Data, and Data Analysis. * Knowledge of SQL and NoSQL databases. * Knowledge of Python and Spark. * 10+ years of related applied professional experience. Preferred Skills & Experience * Knowledge of MapReduce strongly desired. * Other software or programming languages like R and Tableau. * Statistical and Machine learning knowledge. * University teaching experience. Additional Information * 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/Affirmative Action employer.

Job DescriptionCompany 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 in pursuit of greater human understanding, pioneering new 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 seventeen 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 Columbia University, School of Professional Studies (SPS) seeks candidates to serve as a part-time Lecturer to teach a graduate-level course in AI User Interfaces for Analytics. The course delivers a comprehensive understanding of the principles of UX design, as well as techniques and best practices for developing user interfaces (UIs). Students will learn how to create intuitive, interactive, and visually engaging websites and dashboards surfacing AI-generated insights. The curriculum covers the entire process from design and implementation to the evaluation of UIs. Students gain hands-on experience with web development technologies, such as HTML, CSS, JavaScript, and related cloud services. Additionally, the course integrates apply state-of-the-art AI technologies for creating intelligent and interactive UIs. Responsibilities • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions (classes generally meet once per week for up to 2 hours)., • Monitor and address student concerns and inquiries., • Evaluate, grade student work and assessments., • Conduct office hours.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 • Ph.D. in Computer Science, Information Technology, or related discipline, • Proficiency in HTML/CSS, JavaScript, and Python, • Good understanding of UX design and data visualization principles, • 10+ years of related professional experience., • 2+ years of University teaching experience, ideally at the graduate level, • 2+ years of experience with cloud services on AWS, GCP, or Azure, • Any experience applying generative AI models for visualization Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines. Salary: $13,374.97 per semester length course

Job DescriptionCompany 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 in pursuit of greater human understanding, pioneering new 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 nineteen 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 Columbia University School of Professional Studies seeks industry professionals for the role of adjunct Lecturer to develop and teach various in-person courses in the school’s new M.S. in Project Management program. The program equips individuals with the strategic, analytical, and leadership skills essential for a successful career managing complex projects across industries and borders. The Project Management program’s curriculum can be found here. Candidates should indicate in a cover letter areas of subject matter expertise and which of the following five core courses they would be interested in or qualified to teach: * Project Management Fundamentals - Core principles, frameworks, and methods for managing projects effectively * Project Planning, Scheduling, and Control - Foundations of project planning, critical path, and performance monitoring * Finance and Accounting for Managers - Financial principles applied to project management * Leadership and Team Dynamics - Principles of leadership, collaboration, and high-performance team management * Capstone - A real-world project-based capstone synthesizing learning across the curriculum Responsibilities * Lead in-person class lectures, instructional activities, and classroom discussions * Evaluate student work and grade assignments * Monitor student concerns and inquiries, and be the first point of contact for student questions * Hold weekly office hours * Prepare, maintain, and enhance the course in Canvas, Columbia University’s learning management system for onsite and online courses * Part‐time Lecturers who are new to SPS must complete Canvas training (online learning management system) * Attend Project Management faculty meetings * If assigned to design the course, responsibilities also include: * Develop course objectives that align with program-wide learning outcomes * Create activity maps tying course activities to objectives, ensuring industry relevance * Draft a detailed syllabus (course description, schedule, grading rubric, and assessments) for review and approval by the Program Curriculum Committee and the Committee on Instruction (COI). * Collaborate with Instructional Design to develop course materials through a consultative process. This includes partnering on course development (aligning objectives, materials, and assessments), creating dynamic instructional media (videos, infographics, and interactive resources), maintaining established courses with updates and troubleshooting, and receiving just-in-time assistance for targeted needs. Serving as an adjunct Lecturer provides an outstanding opportunity to educate and mentor students in the field of project management as well as to form a rewarding professional relationship with Columbia University’s world-class faculty. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. * A master’s degree in accounting, architecture, business management, engineering, project management or other related disciplines * At least 15 years of industry experience with a focus on project management and leadership in complex organizational environments * Strong communication and problem solving skills and an ability to multi-task Preferred Skills & Experience * A terminal degree in one of the above mentioned disciplines * 2+ years graduate-level university teaching experience * Professional project management certifications (PMP, PRINCE2, etc.) Additional Information Compensation Range - $10,000 - $15,000 per semester-length course. Review of applications begins immediately and will continue until positions are filled. All applicants, please provide: * A resume/CV inclusive of university teaching experience -- highlight teaching at the graduate level * A cover letter indicating the Project Management courses that the applicant is interested in or qualified to teach and areas of subject matter expertise * Evidence of teaching effectiveness (e.g., student evaluations of teaching, teaching observation summaries, etc.) All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionCompany 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 in pursuit of greater human understanding, pioneering new 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 nineteen 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 Columbia University School of Professional Studies seeks industry professionals for the role of adjunct Lecturer to develop and teach various courses in the school’s M.S. in Political Analytics program. The program combines politics with advanced quantitative methods to enhance data skills that will drive decision-making and communicate effectively about data and politics. The program’s curriculum can be found here. Candidates should indicate in a cover letter, areas of subject matter expertise and what type of course they would be interested in or qualified to teach. Examples of current courses taught include: • Big Data & Political Strategy, • Campaign Finance & Fundraising Analytics, • Data Science for Political Analytics Responsibilities • Lead in-person class lectures, instructional activities, and classroom discussions, • Evaluate student work and grade assignments, • Monitor student concerns and inquiries, and be the first point of contact for student questions, • Hold weekly office hours, • Prepare, maintain, and enhance the course in Canvas, Columbia University’s learning management system for onsite and online courses, • Part‐time Lecturers who are new to SPS must complete Canvas training (online learning management system), • Attend Political Analytics faculty meetings, • If assigned to design the course, responsibilities also include:, • Develop course objectives that align with program-wide learning outcomes, • Create activity maps tying course activities to objectives, ensuring industry relevance, • Draft a detailed syllabus (course description, schedule, grading rubric, and assessments) for review and approval by the Program Curriculum Committee and the Committee on Instruction (COI) Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to political science, data science, quantitative methods or related field, • 10+ years of professional experience in a role involving political analytics, • Knowledge of statistics, econometrics, quantitative analysis or related techniques, • Knowledge and familiarity with analysis software (e.g. R), • Doctoral degree or equivalent in a relevant field, • Prior experience with electoral campaigns, policy-making initiatives, advocacy efforts, or lobbying operations, • University teaching experience, ideally at the graduate level Additional Information Compensation - $10,000 - $15,000 per semester-length course. Review of applications begins immediately and will continue until positions are filled. All applicants, please provide: • A resume/CV inclusive of university teaching experience -- highlight teaching at the graduate level, • A cover letter indicating the courses they would be interested in or qualified to teach, areas of subject matter expertise, and availability to teach in-person Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job Description Adjunct Lecturer in Chemistry Responsibilities: Teach introductory, undergraduate laboratory-based courses including General Chemistry, Introductory Biochemistry, and/or Organic Chemistry. Requirements: Terminal or advanced degree (master's degree minimum) with professional experience required; College teaching and clinical experience preferred. Fluency in Spanish is preferred, but not required. Dominican University New York, located in Orangeburg, New York, is 17 miles north of New York City, with approximately 1,400 students and 400 faculty and staff. There is a wide range of academic programs for students to choose from with more than 30 undergraduate and graduate programs in business, education, liberal arts, nursing, occupational therapy, organizational leadership and communication, and physical therapy. The independent, four-year, co-ed university was founded in 1952 by the Dominican Sisters of Blauvelt in the Catholic tradition. It is chartered by the Board of Regents of the University of the State of New York and fully accredited by the Middle States Commission on Higher Education. Dominican University New York has been named a College of Distinction, is designated a Hispanic Serving Institution, and is recognized as Military Friendly. Dominican University New York is an Equal Opportunity/Affirmative Action employer committed to excellence through equity and inclusion, and, in this spirit, particularly welcomes applications from members of historically underrepresented groups. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, status as a protected veteran, status as a qualified individual with a disability, or other protected category in accordance with applicable law. Candidates must be legally authorized to work in the United States at the time of hire. AA/EOE $2,760/course (lecture only); $4,600 (lecture and lab)

Job DescriptionCompany 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 in pursuit of greater human understanding, pioneering new 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 seventeen 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 Columbia University, School of Professional Studies (SPS) seeks candidates to serve as part-time Lecturers to participate on the faculty team for a graduate level Capstone course: Solving Real World Problems with Analytics. This course is the culminating experience for graduate students in our Applied Analytics Master of Science degree program. Students apply their academic learning to a real-world challenge by participating in a consulting engagement with a leading corporate or institutional project sponsor. Capstone sponsors span industry sectors including finance, healthcare, consumer retail, digital media, non-profit. Sponsors include large global companies, startups, and nonprofits. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. Responsibilities • Attend all class sessions. Weekly instructional sessions will be held on one of the following: Wed 6:10-8 PM ET, Thurs 6:10-8 PM ET, Thurs 8:10-10 PM ET., • Serve as a mentor and coach to students and a liaison with corporate project sponsors. Participate in meetings with sponsor companies & student project team., • Monitor and address student concerns and inquiries., • Conduct weekly office hours., • Serve as a liaison between students and corporate project sponsors. Participate in meetings with sponsor companies & student project teams., • Evaluate and grade student work and assessments.Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in an academic area related to data analytics. * 7+ years of professional experience in roles related to data analytics. * Strong technical skills - especially proficiency with R and Python programming. * Consulting experience, working with either external or internal clients. Preferred Skills & Experience * 2+ years of teaching experience, ideally at the graduate level. Additional Information Salary: $12,985.42 per semester-length course Columbia University is an Equal Opportunity/Affirmative Action employer.

Job DescriptionCompany 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 in pursuit of greater human understanding, pioneering new 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 eighteen 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 Columbia University School of Professional Studies seeks industry professionals for the role of adjunct lecturer to develop and teach Artificial Intelligence and Machine Learning for Technology Leaders, a core course in the school’s M.S. in Technology Management program. The program provides technology professionals at all stages of their careers - from recent graduates to more seasoned professionals - with the key strategic and tactical skills necessary to drive enhanced organizational performance and innovation through the use of technology and to become leaders in the field. The program’s curriculum can be found here. Generative AI marks a defining technological shift with far-reaching consequences for the global economy and contemporary society. Artificial Intelligence and Machine Learning for Technology Leaders examines the decades-long evolution of artificial intelligence and machine learning, highlighting their rise as both an economic driver and a strategic imperative. Students will explore AI’s potential to transform industries, expand organizational capabilities, and surface complex challenges around security, identity, and ethics. In today’s rapidly changing landscape, both established enterprises and governments must adapt quickly to the disruption and transformation AI brings. This course equips students with the critical knowledge to navigate the catalysts of this technological surge, understand its foundational principles, and develop the leadership mindset required to thrive in the AI era. Responsibilities * Lead in-person and/or online class lectures, instructional activities, and classroom discussion * Evaluate student work and grade assignments * Monitor student concerns and inquiries and be the first point of contact for student questions * Hold weekly office hours * Prepare, maintain, and enhance the course in Canvas, Columbia University’s learning management system for onsite and online courses * Part‐time Lecturers who are new to SPS must complete Canvas training (online learning management system) * Attend Technology Management faculty meetings Serving as an adjunct lecturer provides an outstanding opportunity to educate and mentor students in the field of technology management as well as to form a rewarding professional relationship with Columbia University’s world-class faculty. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in IT (e.g., computer science, software engineering, AI), business management, finance, or other related disciplines * Significant leadership roles with major corporations or consulting industry related to Technology Management focused on Digital Transformation and recent AI integration * Strong communication and problem solving skills and an ability to multi-task Preferred Skills & Experience * A terminal degree in one of the above mentioned disciplines * 2+ years graduate-level university teaching experience Additional Information Compensation - $10,000 - $15,000 per semester-length course. Review of applications begins immediately and will continue until positions are filled. All applicants, please provide: * A resume/CV inclusive of university teaching experience -- highlight teaching at the graduate level * A cover letter detailing detailing their suitability to teach the course and whether they are interested in teaching online (synchronously) or in-person * Evidence of teaching effectiveness (e.g., student evaluations of teaching, teaching observation summaries, etc.) All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionCompany 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 seventeen 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 The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Mathematics for AI. This course equips students with essential mathematical foundations for understanding and working with artificial intelligence (AI) algorithms. By the end of this course, students will possess a strong mathematical toolkit to confidently tackle the complexities of modern AI algorithms. 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. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. Requirements * Doctoral degree in a quantitative disciplinary area * Proficiency with programming Python in a Jupyter notebook * 3+ years of professional experience in a related area Preferred Skills & Experience * 10+ years of related professional experience. * 2+ years of University teaching experience, ideally at the graduate level. Additional Information Salary: $10,000 - $13,000 per semester-length course All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Job DescriptionCompany 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 in pursuit of greater human understanding, pioneering new 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 eighteen 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 Columbia University School of Professional Studies seeks industry professionals for the role of adjunct Lecturer to develop and teach various courses in the school’s M.S. in Technology Management program. The program provides technology professionals at all stages of their career - from recent graduates to more seasoned professionals - with the key strategic and tactical skills necessary to drive enhanced organizational performance and innovation through the use of technology and to become leaders in the field. The program’s curriculum can be found here. Candidates should indicate in a cover letter areas of subject matter expertise and which courses they would be interested in or qualified to teach. They should also indicate whether they are interested in teaching online (synchronously) or in-person. Responsibilities * Lead in-person and/or online class lectures, instructional activities, and classroom discussion * Evaluate student work and grade assignments * Monitor student concerns and inquiries and be the first point of contact for student questions * Hold weekly office hours * Prepare, maintain, and enhance the course in Canvas, Columbia University’s learning management system for onsite and online courses * Part‐time Lecturers who are new to SPS must complete Canvas training (online learning management system) * Attend Technology Management faculty meetings * If assigned to design a course: * Develop course objectives that align with program-wide learning outcomes * Create activity maps tying course activities to objectives, ensuring industry relevance * Draft a detailed syllabus (course description, schedule, grading rubric, and assessments) for review and approval by the Program Curriculum Committee and the Committee on Instruction (COI). * Collaborate with Instructional Design to develop course materials through a consultative process. This includes partnering on course development (aligning objectives, materials, and assessments), creating dynamic instructional media (videos, infographics, and interactive resources), maintaining established courses with updates and troubleshooting, and receiving just-in-time assistance for targeted needs. * Serving as an adjunct Lecturer provides an outstanding opportunity to educate and mentor students in the field of technology management as well as to form a rewarding professional relationship with Columbia University’s world-class faculty. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements * Graduate degree in IT (e.g., computer science, software engineering, AI), business management, finance, or other related disciplines * At least 15 years of industry experience with a focus on driving digital transformation and innovation processes in large corporations * Strong communication and problem solving skills and an ability to multi-task Preferred Qualifications * A terminal degree in one of the above mentioned disciplines * 2+ years graduate-level university teaching experience Additional Information Compensation - $10,000 - $15,000 per semester-length course. Review of applications begins immediately and will continue until positions are filled. Please Note: To comply with the University's Policy on Fully Remote Work, candidates for the role must reside in New York or a contiguous state (Connecticut, Massachusetts, New Jersey, Pennsylvania, or Vermont) or a state or territory in which the University is registered (Arizona, California, Colorado, Delaware, Florida, Georgia, Hawaii, Illinois, Maryland, Montana, Oklahoma, Vermont, Virginia, Washington, or Washington DC). All applicants, please provide: * A resume/CV inclusive of university teaching experience -- highlight teaching at the graduate level * A cover letter indicating the Technology Management courses they would be interested in or qualified to teach, areas of subject matter expertise, and whether they are interested in teaching online (synchronously) or in-person * Evidence of teaching effectiveness (e.g., student evaluations of teaching, teaching observation summaries, etc.) Your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

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