Adjunct Lecturer, Intro to Blockchain, Cryptocurrencies & Analytics (On-campus, Fall '26)
Why This Role Stands Out
Shape the future of blockchain education by sharing your expertise with aspiring professionals at a world-renowned institution. You'll thrive in this on-campus role if you possess a strong academic background and practical industry experience, contributing to Columbia University's legacy of excellence. Apply today to inspire the next generation of analytics leaders.
Quick Overview
Job 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.
Columbia University, School of Professional Studies (SPS) seeks candidates to serve as a part-time Lecturer to teach an on-campus 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.
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 area related to applied analytics, computer science, or information technology
- Solid knowledge and academic foundation in statistics.
- Deep understanding of machine learning concepts and algorithms.
- Proficiency in R and Python programming.
- Professional experience and demonstrated success in a role involving applied analytics, crypto, blockchain, etc.
Preferred Skills & Experience
- 10+ years of professional experience in analytics-focused roles.
- 2+ years of teaching experience, ideally at the graduate level.
- Proficient in JavaScript
Salary range: $11,000 - $13,000 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
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