The Center for Statistics and Machine Learning at Princeton University seeks applications from outstanding professional instructors to join our faculty in creating and teaching a number of exciting courses in statistics and machine learning.
Depending on the background of the applicant and the needs of the Center, responsibilities may include teaching full courses, giving lectures or leading precepts, supervising graduate student teaching assistants, and participating in course and curriculum design.
Part-time or full-time positions may be available, dependent upon the needs of the Center and the qualifications of the candidate. Appointment(s) will be made at the rank of Lecturer, and will be made through the Center for Statistics and Machine Learning.
Ph.D. in the statistics, machine learning, or related field. Prior teaching experience at the college or university level.
To apply, visit the Princeton University website at the link below and submit a cover letter, CV, and contact information for three references: https://puwebp.princeton.edu/AcadHire/apply/application.xhtml?listingId=2521
Position will remain open until filled. Start date is negotiable, but no later than February 1, 2018.
Princeton University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. These positions are subject to the University background check policy.
Princeton University established the Center for Statistics and Machine Learning (CSML) in July 2014 to serve as the primary organization on campus for education and research activities in statistics, machine learning, and the data sciences.
CSML is an interdisciplinary group with research focused around methodological challenges at the intersection of these fields. CSML is deeply connected to r...eal-world application areas, such as in astrophysics, economics, finance, genomics, neuroscience, political science, public policy, and sociology.