Faculty Position in Astrophysics and Applied & Computational Mathematics

The Department of Astrophysical Sciences in partnership with the Program in Applied and Computational Mathematics (PACM) at Princeton University seeks applications for a tenured or tenure track Professor working in areas of astronomy and applied and computational mathematics. We are particularly interested in applicants who are involved in development, implementation, and application of computational methods to solve fundamental problems in astrophysics. Candidates should have a commitment to teaching in both Astrophysical Sciences and PACM, and a demonstrated 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 PACM can be found at https://www.pacm.princeton.edu/. The successful candidate will have the opportunity to guide students and pursue research in both programs, and to join the Princeton Institute for Computational Science and Engineering (PICSciE) as an Associated Faculty member.

A start date of September 1, 2020 is preferred. Applications will be accepted until the position is filled. Review of applications will begin on December 1, 2019.

Applicants should apply via https://www.princeton.edu/acad-positions/position/13761.

Applications require: a cover letter, complete curriculum vitae, and separate 3-4 page descriptions of research and teaching interests. Contact information for at least three letters of recommendation must also be submitted through the above site. For further inquiries, contact [email protected].

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 is especially interested in candidates who, through their research, teaching, and service, will contribute to the diversity and excellence of the academic community. This position is subject to the University’s background check policy. Princeton University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.