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Columbia University School of Professional Studies seeks candidates for the role of adjunct Lecturer for the Fall 2025 semester to teach the graduatelevel course Advanced Predictive Modeling Applications in the schools highly ranked Master of Science degree program in Actuarial Science. Scholarpractitioners with relevant academic and industry experience are invited to apply.
Advanced Predictive Modeling Applications discusses Bayesian methods for estimating linear models. We discuss three methods for estimating the Bayesian posterior: grid approximation quadratic approximation and Markov Chain Monte Carlo (MCMC) methods. Bayesian methods are used to estimate linear regression models and generalized linear models. We also use Bayesian methods to estimate multilevel models also known as linear mixed models. We also estimate linear mixed models using nonBayesian methods. We learn how to build estimate and evaluate these models and how to select the best one.
This class covers most of the material of Exam MAS II of the Casualty Actuarial Society. This is a core class of the Actuarial Science program.
Serving as an adjunct Lecturer provides an outstanding opportunity to educate and mentor students aspiring to a career in Actuarial Science related fields as well as to form a rewarding professional relationship with Columbia Universitys worldclass faculty. Candidates should have a demonstrated understanding of academic and
applied trends that are driving best practice in the field.
Responsibilities
The Lecturer role is outlined in more detail here.
Class Days and Times
Mondays and Wednesdays; 2:40pm to 3:55pm EST
Qualifications :
Columbia University SPS operates under a scholarpractitioner 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
Preferred Qualifications
Additional Information :
Salary: $14183 per semesterlength course teaching.
Columbia University is an Equal Opportunity/Affirmative Action employer.
Remote Work :
No
Employment Type :
Parttime
Part-time