The Department of Astrophysical Sciences in partnership with the Center for Statistics and Machine Learning (CSML) at Princeton University seeks applications for a tenure-track Assistant Professor working in areas of statistical astronomy. We are particularly interested in applicants who are working both at the intersection of statistics and machine learning, and whose research is advancing the frontier in data analysis and modeling in astrophysics. Candidates should have a commitment to teaching and a demonstrated potential or ability to pursue a high impact research program. Information on resources and research programs in the Department of Astrophysical Sciences can be found at https://web.astro.princeton.edu/ while information about the interdisciplinary program at the CSML can be found at https://csml.princeton.edu/. The successful candidate will have the opportunity to teach and pursue research in both programs.
A start date of September 1, 2019 is preferred. Applications will be accepted until the position is filled. Review of applications will begin on December 1, 2018.
Applicants should apply at: https://www.princeton.edu/acad-positions/position/8981.
Applications require: a cover letter, a complete curriculum vitae, and separate descriptions of research and teaching interests. Contact information for at least three letters of recommendation must also be submitted through the above site.
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. This position is subject to the University’s background check policy.
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.