The Department of Industrial Engineering and Operations Research at Columbia Engineering invites applications for a Lecturer in Discipline or a Senior Lecturer in Discipline, starting either January 1, 2027 or July 1, 2027. Applications will be reviewed on a rolling basis. Lecturers in Discipline and Senior Lecturers in Discipline are full-time non-tenure-track faculty members who meet a need for instruction in specialized fields. 

The Industrial Engineering and Operations Research Department is committed to hiring outstanding teachers to support the growing needs of its exceptionally strong undergraduate and MS programs. The IEOR department promotes a culture of innovation and experimentation in teaching, including blended and online learning environments.

We seek candidates with teaching interests in Artificial Intelligence (AI), including classical AI, Large Language Models (LLMs), Generative AI (GenAI), Reinforcement Learning, and Multimodal AI, from both theoretical and applied perspectives, with applications in operations research, data science, and/or financial engineering. The successful candidate will be involved in all aspects of the educational mission of the Department, which includes developing curricula and courses for relevant graduate and undergraduate programs, executive programs for practitioners, and industry contacts for sponsored projects for experiential learning courses. Since this is a teaching position, applicants must have excellent teaching credentials and communication skills. Experience with blended and online learning and/or industry experience is a plus. Candidates must hold a PhD or its professional equivalent in Operations Research, Computer Science, Information Management and Systems, Robotics, Statistics, Mathematics, or a related discipline by the start date of the appointment. 

Candidates at the rank of Lecturer in Discipline are expected to have teaching experience, documented evidence of pedagogical excellence, and evidence of professional growth and activity in the given field. Candidates at the rank of Senior Lecturer in Discipline are expected to have substantial experience and accomplishments, a superlative record of teaching as a lecturer, and documented evidence of pedagogical excellence in carrying out administrative or other department responsibilities.

The Department is especially interested in qualified candidates who can contribute, through their research, teaching, and/or service, to the diversity and excellence of the academic community.

For additional information and to apply, please see:  http://engineering.columbia.edu/faculty-job-opportunities. Applications should be submitted electronically to https://apply.interfolio.com/187399 and include the following: a curriculum vitae; a statement of teaching interests and plans; and a list of at least three references from experts in the candidate?s field, including contact information. Letters of recommendation will be requested at a later stage of the search. At least one recommender must be able to address the candidate?s teaching ability. Candidates invited to interview will be required to give a 50-minute teaching demonstration on an AI-related topic.

Applicants can consult ieor.columbia.edu for more information about the department.  

Hiring Salary Range: Lecturer in Discipline: $106,000 - $129,000; Senior Lecturer in Discipline: $125,000 - $162,000

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training.  The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting.

About Columbia University

Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.

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