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HomeCompaniesColumbiauniversity1Adjunct Associate Faculty, Applied Deep Learning and AI (On-Campus, Fall '26)

Adjunct Associate Faculty, Applied Deep Learning and AI (On-Campus, Fall '26)

Columbiauniversity1 · New York, NY, United States · Active · $2,000–$3,000 / year · SmartRecruiters

Job facts

FieldValue
CompanyColumbiauniversity1
TitleAdjunct Associate Faculty, Applied Deep Learning and AI (On-Campus, Fall '26)
Normalized title-
Department / teamApplied Analytics
LocationNew York, NY, United States
Work model-
Employment typePart Time
Salary$2,000–$3,000 / year
Statusactive
ATS providerSmartRecruiters
Posted / first seen2026-02-27 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-19

Related slices

PageWhat it containsOpen
Company jobsActive postings from Columbiauniversity1.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through SmartRecruiters.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Applied Analytics.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyColumbiauniversity1
Source252db8b6-df89-482b-953f-2d4f2f975720
ATS providerSmartRecruiters

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 twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. The Applied Analytics program is seeking data analytics professionals to serve as a  part-time  Associate   for a graduate-level course called  Applied Deep Learning and AI . This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. 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 on-campus 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 Conduct office hours. Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements Graduate degree in Computer Science, Data Science, or a related field (Completing relevant coursework such as Deep Learning, Machine Learning, and Statistics courses). Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch). Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques. Hands-on experience with deep learning projects and data manipulation. 3 years of professional experience in a role related to applied analytics Preferred Skills & Experience Strong verbal and written skills for explaining concepts clearly. University teaching experience in related subjects Salary range:  $2,000 - $3,000 per semester long course Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran

Full job record

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Org ID223130e3-59f2-46de-a88c-89229a25e8c2
Source ID252db8b6-df89-482b-953f-2d4f2f975720
Board ID252db8b6-df89-482b-953f-2d4f2f975720
Providersmartrecruiters
Provider Job Key744000111912594
TitleAdjunct Associate Faculty, Applied Deep Learning and AI (On-Campus, Fall '26)
Normalized Title
Statusactive
Activeyes
Location TextNew York, NY, United States
DepartmentApplied Analytics
Team
Employment Typepart_time
Workplace Type
Remote Policy
CountryUnited States
RegionNY
CityNew York
Salary RawColumbia 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 twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. The Applied Analytics program is seeking data analytics professionals to serve as a  part-time  Associate   for a graduate-level course called  Applied Deep Learning and AI . This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. 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 on-campus 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 Conduct office hours. Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements Graduate degree in Computer Science, Data Science, or a related field (Completing relevant coursework such as Deep Learning, Machine Learning, and Statistics courses). Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch). Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques. Hands-on experience with deep learning projects and data manipulation. 3 years of professional experience in a role related to applied analytics Preferred Skills & Experience Strong verbal and written skills for explaining concepts clearly. University teaching experience in related subjects Salary range:  $2,000 - $3,000 per semester long course Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran
Salary Min2,000
Salary Max3,000
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Salary Periodyear
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First Seen At2026-05-31 17:36:11Z
Last Seen At2026-06-19 10:38:24Z
Last Checked At2026-06-19 10:38:24Z
Last Changed At2026-05-31 17:36:11Z
Inactive At
Source Posted At2026-02-27 18:09:45Z
Source Updated At
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