Assistant Professor Position in Statistical Astronomy

Submission Information
Publish Date: 
Friday, September 28, 2018
Archive Date: 
Friday, December 7, 2018
Job Summary
Job Category: 
Faculty Positions (tenure and tenure-track)
Institution Classification/Type: 
Small Academic
Princeton University
Department Name: 
Astrophysical Sciences
United States of America
Job Announcement Text: 

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 while information about the interdisciplinary program at the CSML can be found at 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:

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.

Included Benefits: 
Application Deadline: 
Saturday, December 1, 2018
Current Status of Position: 
Accepting Applicants
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