The Center for Statistics and Machine Learning at Princeton University has occasional openings for part time lecturers to teach precepts (sections) for an undergraduate course during the 2017-2018 academic year. This course covers approaches and techniques for obtaining, organizing, exploring, and analyzing data, as well as creating tools based on data. In addition, it includes concepts such as random variables, sampling, probability distributions, estimations, hypothesis testing, and regressions, as well as relevant computational techniques.
Serving in a preceptor capacity requires leading weekly discussions, attending course lectures, meeting with the course instructor(s), holding regular office hours, and grading student problem sets, quizzes, and projects.
Appointment duty time will depend upon student enrollment. An advanced degree in statistics, machine learning, or related discipline is required; PhDs or those enrolled in a doctoral program are preferred. Proficiency in R is an asset.
How to apply
Interested candidates should apply with a cover letter, a curriculum vitae, a statement of teaching interest, and the names and contact information for 3 references. Review of applications will begin immediately and will continue until a final decision is made.
Due to the large number of applications, only candidates selected for an interview will be contacted. This position is subject to the University’s background check policy.