Lecturer, Statistics & Machine Learning, Princeton University

The Center for Statistics and Machine Learning at Princeton University seeks applications from outstanding professional instructors to join our faculty in creating and teaching exciting undergraduate data science, statistics, and machine learning courses. Depending on the applicant's background and the Center's needs, responsibilities may include teaching full courses, giving lectures or leading precepts, supervising graduate student teaching assistants, participating in course and curriculum design, and connecting research to courses. Part-time or full-time positions may be available, and are located in Princeton, NJ. Appointment(s) will be made at the rank of Lecturer and will be made through the Center for Statistics and Machine Learning. The position features many compelling elements:

• Interacting with a vibrant and diverse community.
• Engaging with outstanding undergraduate students.
• Advising undergraduate capstone projects and senior theses.

Elevating the individual within a culture of collaboration, Princeton University is a powerful foundation upon which to build one’s career and family. Princeton’s competitive array of benefits reflects a holistic approach to supporting individuals and their families at work and beyond. The University is also an engaging, transformative resource in and of itself. From opportunities for collaboration to world-class research and cultural facilities, you will find all manner of spaces that bring people together and inspire new ideas.

Princeton, NJ is one of the country’s most historic communities. Situated midway between Philadelphia and New York City, Princeton is a charming and walking-friendly small town with easy access to neighboring cities. In 2022 Niche Magazine rated the Princeton Public Schools as one of the top public school districts in NJ and included Princeton on its list of the best places to live in America.

Essential Qualifications: Advanced degree in computer science, statistics, or a related field. Ability to Program in Python or R.

Preferred Qualifications: Ph.D., prior teaching experience at the college or university level, and some background in applications to experimental science.

To apply, please submit a cover letter, CV, and contact information for three references at https://www.princeton.edu/acad-positions/position/30181. For full consideration, please submit your application by June 5, 2023, at 11:59 EST.

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.