The Center for Statistics and Machine Learning at Princeton University seeks applications for an assistant professor. We are particularly interested in applicants who are working at the intersection of Statistics and Machine Learning, or applicants whose research involves a substantial cross-disciplinary component. Candidates should have a commitment to teaching and a demonstrated potential or ability to pursue a high impact research program. Faculty appointments resulting from this search require an appointment in an appropriate home department at Princeton University.
A start date of September 1, 2018 is preferred for junior candidates. Applicant review will begin in January 2018.
For full consideration, please submit applications before February 1, 2018. Applications require: a cover letter, complete curriculum vitae, and descriptions of research and teaching interests. In addition, junior candidates should include a representative publication and the contact information for four references.
Applicants should apply at: https://www.princeton.edu/acad-positions/position/5421
Essential Qualifications: All applicants must have a Ph.D. and a record of research productivity. They must also be committed to teaching at both the undergraduate and graduate levels.
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.