Princeton University's Department of Ecology and Evolutionary Biology is seeking candidates for multiple faculty positions in evolutionary biology. We anticipate hiring at the assistant professor level, though exceptional candidates at a more senior level are encouraged to apply.
We seek scholars who work broadly in evolutionary biology and are eager to interact with a vibrant and interdisciplinary group of colleagues. Successful candidates will address bold questions through rigorous, creative, and integrative approaches. Beyond this, the range of possible research areas within or intersecting evolutionary biology should be understood as broadly as possible. We are excited to consider research focused across any evolutionary timescale, at any level of biological hierarchy (e.g., molecules to ecosystems or even human social systems), and employing any methodological approach (e.g., empirical, computational, theoretical).
Princeton University is an interactive community that fosters cross-disciplinary thought and collaboration. Successful candidates will have opportunities to interact with colleagues across different departments, programs, and institutes including the Lewis Sigler Institute for Integrative Genomics, the Princeton Neuroscience Institute, the Program in Applied and Computational Mathematics, the Center for Statistics and Machine Learning, and the High Meadows Environmental Institute.
Applicants should submit a vision statement, no longer than two pages, that outlines the bold question(s) they would pursue within their first 5 years and that places those questions broadly in the context of major unsolved problems in their field(s). In this respect, the vision statement should draw on, yet go beyond a summary of the applicant's prior and current research. In addition to the vision statement, applications need to include a cover letter, curriculum vitae, three reprints, and contact information for three references. All documents should be submitted online via https://www.princeton.edu/acad-positions/position/27384. Screening of applications will begin November 1, 2022.
This position is subject to the University's background check policy.