Assistant, Associate or Full Professor

Location
Princeton, NJ
Posted
Jan 13, 2019
Position Type
Tenured & Tenure-Track
Institution Type
Four-Year Institution

Princeton University

Princeton University is committed to the continued expansion and development of its Neuroscience Institute. We are now inviting applications for a position at the Assistant, Associate or Full Professor level (tenure track), with a focus on computational / theoretical neuroscience investigators. In addition to other outstanding neuroscience resources at Princeton, a newly constructed 248,000 square foot building opened in 2014, houses state-of-the-art computing resources for modeling and data analysis, as well as for the full range of neuroscientific methods, including human brain imaging, cellular and circuit level imaging and recording in animal model systems, and studies of non-human primates. Key selection criteria will include research excellence, originality of science and future impact on the field of neuroscience and related disciplines. Applicants must have an excellent record of research productivity and demonstrate the ability to develop a rigorous research program. The successful candidate will join the Princeton Neuroscience Institute and may also join a department appropriate to the individual's background and interests, with possibilities including (but not limited to) Psychology, Molecular Biology, Mathematics, Physics, Electrical Engineering and Computer Science. Applicants should be prepared to teach courses both at the undergraduate and graduate levels. Princeton is especially interested in qualified candidates who can contribute, through their research, teaching, and service, to the diversity and excellence of our academic community. Applications must apply online at https://www.princeton.edu/acad-positions/position/8722 and include a cover letter, curriculum vitae, a brief summary of current and proposed research, and contact information for at least three references. For fullest consideration, materials should be received by November 5, 2018. This position is subject to the University's background check policy.

PI106898501

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