Visiting Faculty jobs at New York University - 69 jobs

The Division of Community Radiology of the Johns Hopkins University School of Medicine Department of Radiology is seeking fellowship-trained Abdominal or Thoracic imagers to join our growing team of 14 Body imaging subspecialists in the National Capital Region. The team currently covers Sibley and Suburban Hospitals and outpatient imaging centers. The position: -Subspecialized including thoracic, abdominal, and pelvic imaging -No Neuro, Mammo, IR, PET, outpatient MSK or Peds -No research or teaching requirements -Salary range $440-550 k -Benefits, and vacations competitive with private practice groups in the DC region -Home workstations provided -No overnight shifts -Opportunity for internal moonlighting -Collegial mix of experienced and recently trained Body imagers -Flexible, equitable, transparent schedule Salary: $440,000.00 - $550,000.00 Applicants must be Board Certified and eligible for Maryland and DC Licensure. The Johns Hopkins University School of Medicine is an EEO/AA employer. We offer competitive salaries, excellent benefits, and a world-class department committed to excellence. Interested, qualified applicants should send inquiries and a current CV to Amir R. Batouli, MD (****************) and apply through interfolio. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

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 The School of Professional Studies seeks a data analytics professional to serve as a part-time Associate for a graduate-level course called Applied Analytics Frameworks & Methods I . The world is generating data at an even faster pace via business transactions, online searches, social media activities, and various sensors. The ready availability of vast amounts of data creates opportunities to predict outcomes and explain phenomena across a wide range of domains from medicine to business to even space exploration. Supervised learning techniques are being extensively used to make useful predictions and generate insights to tackle problems. These predictive analysis techniques focus on this course, guiding students through the data-wrangling process, starting with data exploration and other foundational approaches. The course then covers an array of supervised learning techniques, including linear regression, decision trees, and support vector machines. Students also have the opportunity to challenge themselves in applying and combining the techniques they have learned through a predictive analytics competition. 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. 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 an area related to data science, applied analytics, statistics, or another quantitative discipline. Proficient in Python programming. 3+ years of professional experience in a role involving applied analytics. Preferred Skills & Experience Knowledge of theories and practical application of machine learning. 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.

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.

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.

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 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.

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 Financial Securities Analysis and Portfolio 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. Financial securities analysis and portfolio management is the study of analyzing information to evaluate financial securities and design investment strategies. Studying the subject can provide a foundation for students entering the fields of investment analysis or portfolio management. This course provides an intensive introduction to major topics in investments. 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 Finance or a related field. 3+ years of professional experience in a role involving 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 University teaching experience. Experience applying Python to real-world financial securities and portfolio management problems. Ability to mentor students and provide constructive feedback on analytical work. Additional Information Salary : $3,343.74 per semester-length 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/Affirmative Action employer.

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 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 request 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, Information Technology, or related discipline Proficiency in HTML/CSS, JavaScript, and Python Good understanding of UX design and data visualization principles Proven industry experience in UX/UI and web development Preferred Skills & Experience 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 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.

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 Analytics for Cybersecurity 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 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. Through hands-on exercises, interactive assignments, and a culminating project focused on automating vulnerability analysis, learners will develop practical skills in data-driven security. They will practice essential tasks-such as parsing logs, classifying vulnerabilities, creating visual dashboards, and applying AI-driven anomaly detection-while also examining ethical, legal, and regulatory considerations in cybersecurity. By the end of the course, students will be equipped to design proactive defense measures, critically assess diverse threat landscapes, and responsibly leverage AI and analytics to fortify digital ecosystems against evolving cyber risks. 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 such as Cybersecurity, Computer Science, Data Science/Analytics, Information Systems, Information Security, Electrical/Computer Engineering, Statistics, or a closely related discipline. 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 University teaching or TA experience, especially in graduate or professional programs. 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 Salary : $3,343.74 per semester-length 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/Affirmative Action employer.

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 Graduate degree in an area related to Operations Management, Business Analytics, Industrial Engineering, Operations Research, Data Science, or a related field. 3+ years of professional experience in a role involving applied analytics, operations management, supply chain management, finance, marketing research, or related industries. Strong understanding of Operations Management concepts such as forecasting, queuing theory, optimization, and simulation. Proficiency in data analysis using Python and familiarity with tools such as Jupyter Notebook, NumPy, Pandas, and Matplotlib. Preferred Skills & Experience 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 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.

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 Seeking professionals to serve as a part-time Adjunct Associate for a graduate-level course in Introduction to Blockchain, Crypto-currencies & Analytics. This course provides our Applied Analytics Master of Science degree students with an introduction to blockchains and crypto-currencies as well as cryptographic protocols, hash, digital signatures, chaining of blocks of transactions, decentralization using mining based on proof of work, and smart contracts. An Adjunct 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 Adjunct Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University. 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 an area related to applied analytics such as statistics, economics, mathematics, etc. Solid knowledge and academic foundation in statistics. Deep understanding of machine learning concepts and algorithms. Proficiency in R and Python programming. 3+ years professional experience and demonstrated success in a role involving applied analytics. Preferred Skills & Experience Teaching experience, ideally at the graduate level. Proficient in JavaScript 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: $3,343.74 per semester-length course

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 mac OS/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 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.

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 mac OS/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 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.

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 Graduate degree in an area related to Operations Management, Business Analytics, Industrial Engineering, Operations Research, Data Science, or a related field. 3+ years of professional experience in a role involving applied analytics, operations management, supply chain management, finance, marketing research, or related industries. Strong understanding of Operations Management concepts such as forecasting, queuing theory, optimization, and simulation. Proficiency in data analysis using Python and familiarity with tools such as Jupyter Notebook, NumPy, Pandas, and Matplotlib. Preferred Skills & Experience 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 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.

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 Seeking professionals to serve as a part-time Adjunct Associate for a graduate-level course in Introduction to Blockchain, Crypto-currencies & Analytics. This course provides our Applied Analytics Master of Science degree students with an introduction to blockchains and crypto-currencies as well as cryptographic protocols, hash, digital signatures, chaining of blocks of transactions, decentralization using mining based on proof of work, and smart contracts. An Adjunct 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 Adjunct Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University. 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 an area related to applied analytics such as statistics, economics, mathematics, etc. Solid knowledge and academic foundation in statistics. Deep understanding of machine learning concepts and algorithms. Proficiency in R and Python programming. 3+ years professional experience and demonstrated success in a role involving applied analytics. Preferred Skills & Experience Teaching experience, ideally at the graduate level. Proficient in JavaScript 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: $3,343.74 per semester-length course

Job Title Psychology Guest Faculty Classification Title Rank Guest Faculty Tenure Information Non-Tenure Track Job Description Sarah Lawrence College invites applications for one-semester or one-year, part-time or full-time visiting faculty position(s) in psychology in fall 2025 and/or spring 2026. Strengths in adult and/or child clinical psychology, social psychology, critical social psychology, positive psychology, and/or cultural and global perspectives are particularly welcome. These positions include teaching both undergraduate and master's level graduate students in both lecture and seminar classes at either the introductory or more advanced levels. The exact format of each course will be determined in consultation with the successful candidate. Seminar courses are typically capped at 15 students and include a seminar class and biweekly meetings with individual students to develop a semester-long independent project-conference work-which usually takes the form of a substantial literature review or other form of independent research project conducted under the instructor's guidance. Lecture courses, capped at 45 students, include small group conferences rather than individual biweekly conferences, in addition to weekly lectures. In addition, we expect that some courses might involve supervising students doing course related fieldwork in community settings or at our campus laboratory preschool. Applicants should submit a cover letter, curriculum vitae, course descriptions for two proposed courses, a statement of teaching philosophy, and a sample of scholarly writing. Please include a consideration of diversity, equity, inclusion, justice, and belonging in your teaching statement. In addition, applicants should provide the names and contact information for three professional references. Applicants must be authorized to work in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Compensation listed for this position is on a per-course basis, contingent on teaching experience. Required Qualifications A doctorate in psychology or an allied field is preferred. Increased consideration will be given to candidates with a record of effective college-level teaching and experience guiding undergraduate research projects. Preferred Qualifications Salary $10,500 to $14,000 EEO Statement Sarah Lawrence seeks to recruit and retain a diverse administration, staff, and faculty. Every job opening is seen as an opportunity to increase diversity, and every effort will be made to expand the applicant pool in accordance with these goals. (Please see our Nondiscrimination Policy.) For information on Sarah Lawrence College, our curriculum, teaching methods, and philosophy of education, please see our website at: ******************************* Posting Detail Information Posting Number F00193P Open Date Close Date Open Until Filled Special Instructions to Applicants Position(s) open until filled. Review of applications will begin immediately and continue until these positions are filled.

Job Title French Caribbean Tenure Track Faculty Position - Fall 2026 Classification Title Rank Faculty Tenure Information Tenure Track Job Description The French program at Sarah Lawrence College invites applications for a tenure-track position in the literatures, histories, and cultures of the French-speaking Caribbean. We are particularly interested in candidates who will add to the College's current offerings in the Anglophone and Spanish-speaking Caribbean and in Atlantic Studies. Successful candidates must be able to teach French language courses at all levels, in addition to literature and/or culture classes in both French and English. Candidates able to teach introductory courses in global Francophone literatures and cultures and colonial and post-colonial studies beyond the Caribbean would be especially welcome. All applicants should demonstrate a commitment to undergraduate teaching and mentorship, including study abroad. We invite candidates to familiarize themselves with Sarah Lawrence's distinctive pedagogical model, which often includes one-on-one tutorials as part of most seminars. Applications should include the following: Cover letter, curriculum vitae, sample of scholarly work (15-25 pages), two syllabi (one for an intermediate language course, one for an advanced literature/culture course), and three letters of recommendation. Compensation listed for this position is for a full-time tenure-track faculty position and will be contingent on teaching experience. Required Qualifications The successful candidate must be in possession of a Ph.D. by time of appointment. Preferred Qualifications Salary $70,000 to $85,000 EEO Statement Sarah Lawrence seeks to recruit and retain a diverse administration, staff, and faculty. Every job opening is seen as an opportunity to increase diversity, and every effort will be made to expand the applicant pool in accordance with these goals. (Please see our Nondiscrimination Policy.) For information on Sarah Lawrence College, our curriculum, teaching methods, and philosophy of education, please see our website at: ******************************* Posting Detail Information Posting Number F00197P Open Date Close Date Open Until Filled Special Instructions to Applicants Review of applications will begin on November 1, 2025, and continue until the position is filled.

The French program at Sarah Lawrence College invites applications for a tenure-track position in the literatures, histories, and cultures of the French-speaking Caribbean. We are particularly interested in candidates who will add to the College's current offerings in the Anglophone and Spanish-speaking Caribbean and in Atlantic Studies. Successful candidates must be able to teach French language courses at all levels, in addition to literature and/or culture classes in both French and English. Candidates able to teach introductory courses in global Francophone literatures and cultures and colonial and post-colonial studies beyond the Caribbean would be especially welcome. All applicants should demonstrate a commitment to undergraduate teaching and mentorship, including study abroad. We invite candidates to familiarize themselves with Sarah Lawrence's distinctive pedagogical model , which often includes one-on-one tutorials as part of most seminars. Applications should include the following: Cover letter, curriculum vitae, sample of scholarly work (15-25 pages), two syllabi (one for an intermediate language course, one for an advanced literature/culture course), and three letters of recommendation. Compensation listed for this position is for a full-time tenure-track faculty position and will be contingent on teaching experience. Required Qualifications The successful candidate must be in possession of a Ph.D. by time of appointment.

Sarah Lawrence College invites applications for one-semester or one-year, part-time or full-time visiting faculty position(s) in psychology in fall 2025 and/or spring 2026. Strengths in adult and/or child clinical psychology, social psychology, critical social psychology, positive psychology, and/or cultural and global perspectives are particularly welcome. These positions include teaching both undergraduate and master's level graduate students in both lecture and seminar classes at either the introductory or more advanced levels. The exact format of each course will be determined in consultation with the successful candidate. Seminar courses are typically capped at 15 students and include a seminar class and biweekly meetings with individual students to develop a semester-long independent project-conference work-which usually takes the form of a substantial literature review or other form of independent research project conducted under the instructor's guidance. Lecture courses, capped at 45 students, include small group conferences rather than individual biweekly conferences, in addition to weekly lectures. In addition, we expect that some courses might involve supervising students doing course related fieldwork in community settings or at our campus laboratory preschool. Applicants should submit a cover letter, curriculum vitae, course descriptions for two proposed courses, a statement of teaching philosophy, and a sample of scholarly writing. Please include a consideration of diversity, equity, inclusion, justice, and belonging in your teaching statement. In addition, applicants should provide the names and contact information for three professional references. Applicants must be authorized to work in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Compensation listed for this position is on a per-course basis, contingent on teaching experience. Required Qualifications A doctorate in psychology or an allied field is preferred. Increased consideration will be given to candidates with a record of effective college-level teaching and experience guiding undergraduate research projects.

The Department of Social and Cultural Analysis invites applications for a Faculty Fellow in Asian/Pacific/American Studies, with an initial appointment of one year beginning September 1, 2026, and the expectation of annual renewal for two additional years, subject to pending budgetary and administrative approval. The Department of Social and Cultural Analysis is an interdisciplinary department committed to developing innovative approaches in urbanism, migration, critical racial, ethnic and indigenous studies, gender and sexuality, art, culture, politics, and economic life. The Department has degree programs in Africana Studies, American Studies, Asian/Pacific/American Studies, Gender and Sexuality Studies, Latinx Studies, Urban Studies, and Social and Cultural Analysis. In compliance with NYC's Pay Transparency Act, the annual base salary for this position is $60,000. New York University considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer. Arts & Science at NYU is at the heart of a leading research university that spans the globe. We seek scholars of the highest caliber who are sensitive to the needs of and possess an interest in working in a broad academic community with different viewpoints and backgrounds. NYU affirms the value of differing perspectives on the world as we strive to build the strongest possible university with the widest reach. To learn more about the Arts & Science commitment to inclusive excellence, please read here: ****************************************************** If you have questions, please contact Marty Correia at **************. The successful candidate should hold a PhD in any field or discipline related to Asian/Pacific/American Studies, and we especially encourage scholars who focus on trans-regional and interdisciplinary approaches to Asian American and/or Pacific World studies to apply. Candidates must have completed a Ph.D. no earlier than five years before the date of appointment and have a strong commitment to undergraduate teaching. The teaching load will be three courses per annum.