Lecturer in Discipline Position in the Department of Industrial Engineering and Operations Research

  • Columbia University, Industrial Engineering and Operations Research Department
  • New York, NY, USA
  • Sep 07, 2021
Full time BUS: Accounting/Economics/Finance Computer Science/Info Tech/Systems Engineering & Applied Sciences Mathematics & Statistics Sciences and Technology: other

Job Description


The Department of Industrial Engineering and Operations Research at Columbia Engineering invites applications for a Lecturer in Discipline position in the fields of Business Analytics, FinTech, Machine Learning, Artificial Intelligence and Big Data in finance. We are especially interested in applicants who are interested in both fundamental problems in the aforementioned fields and applied topics including but not limited to market design, mechanism design, intelligent wealth management, risk management, blockchains, cryptocurrencies, peer-to-peer lending, and digital payment systems. The candidate is also expected to teach two courses a year, and assist in supervising Master students and PhD researchers.

The position is part of a broader initiative at the Columbia Engineering and Applied Science to leverage academic research in emerging technologies for business and financial applications. The candidates must hold a PhD degree in computer science, data science, scientific computing, applied mathematics, statistics, economics, financial econometrics or related areas. Successful candidates will have expertise in at least one of the following areas: game theory and mechanism design; machine learning; neural networks; financial engineering/mathematical finance; econometrics; or financial risk models. Candidates must have both a strong mathematical background and excellent programming skills (Python/R/C++/Java/Scala). Experience in the financial industry will be an advantage.

Columbia fosters multidisciplinary research and encourages collaborations with academic departments and units across the university. 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.

Preferred and Required Qualifications

The candidates must hold a PhD degree in computer science, data science, scientific computing, applied mathematics, statistics, economics, financial econometrics or related areas. 

Application Details

For additional information and to apply, please see:  http://engineering.columbia.edu/faculty-job-opportunities or apply.interfolio.com/93852.  Applications should be submitted electronically and include the following: curriculum-vitae including a statement of teaching interests and plans, and contact information for three experts who can provide letters of recommendation. At least one of the letters of recommendation must address teaching ability. Candidates will be considered on a rolling basis. Candidates that are invited to interview will be required to give a 50-minute technical presentation.

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

Columbia University is an Equal Opportunity/Affirmative Action employer -- Disability/Veteran


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Applicants with dual-career considerations can find university jobs such as professor jobs, dean jobs, chair / department head jobs, and other faculty jobs and employment opportunities at Columbia University and at other institutions of higher education in the region on www.AcademicCareers.com

Application Deadline

Open until filled