The University of Chicago's Physical Sciences Division invites applications for the position of lecturer for the 2021-22 academic year to teach at least two core or elective courses for the Master of Science in Analytics program. See below for a list of courses. Administrative duties may also be assigned. Lecturers will be appointed to an initial one year term (calendar year), with the possibility of renewal. For more detailed course descriptions, visit https://professional.uchicago.edu/find-your-fit/masters/master-science-analytics/curriculum.
This position is part-time and not benefits eligible. Applicants must currently be authorized to work permanently in the United States. These courses are offered at our downtown facilities, including NBC Tower and Gleacher Center.
Time Series Analysis and Forecasting | MSCA 31006
Statistical Analysis | MSCA 31007
Data Mining Principles | MSCA 31008
Machine Learning and Predictive Analytics | MSCA 31009
Linear and Nonlinear Models for Business Application | MSCA 31010
Data Engineering Platforms | MSCA 31012
Leadership Skills: Teams, Strategies, and Communications | MSCA 31003
Data Science for Consulting | MSCA 31015
Big Data Platforms | MSCA 31013
Financial Analytics | MSCA 32001
Marketing Analytics | MSCA 32003
Credit and Insurance Risk Analytics | MSCA 32004
Real Time Analytics | MSCA 32005
Data Visualization Techniques | MSCA 32007
Health Analytics | MSCA 32009
Optimization and Simulation Methods for Analytics | MSCA 32013
Bayesian Methods | MSCA 32014
Digital Marketing Analytics in Theory and Practice | MSCA 32015
Advanced Machine Learning and Artificial Intelligence | MSCA 32017
Natural Language Processing and Cognitive | MSCA 32018
Real Time Intelligent Systems | MSCA 32019
Reinforcement Learning | MSCA 32020
Machine Learning Operations | MSCA 32021
Minimum qualifications: A master's degree in Data Science, Applied Math, Statistics, Computer Science, Mathematics, or other closely related field, and minimum of five years of professional experience in Computer Science, Analytics, or Data Science is required.
Preferred qualifications: a PhD in Data Science, Applied Math, Statistics, Computer Science, Mathematics, or other closely related field. One to three years of teaching experience either within a university (such as Adjunct, Lecturer or Instructional Professor) or corporate training environment for professional education is preferred. 7+ years of professional experience preferred.
The following materials are required:
Cover letter that lists the courses you are most qualified to teach;
A list of two references;
Sample course syllabus;
Optional materials: teaching evaluations from past teaching at the university level.
Applications must be submitted online through the University of Chicago's Academic Jobs website: http://apply.interfolio.com/97358.
All University departments and institutes are charged with building a faculty from a diversity of backgrounds and with diverse viewpoints; with cultivating an inclusive community that values freedom of expression; and with welcoming and supporting all their members.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The University's Statements on Diversity are at https://provost.uchicago.edu/statements-diversity.
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
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