Available opportunities for the CV Starr Fellow in Neuroscience

Please visit the Princeton University Job Website to view all available opportunities, and to apply.


CV Starr Fellowship in Neuroscience

The Princeton Neuroscience Institute (PNI) aims to recruit an exceptional individual for our CV Starr Fellowship in Neuroscience. This is an individual who has recently obtained a PhD degree in neuroscience or areas relevant to neuroscience (molecular biology, psychology, computer science, engineering, physics, or mathematics). Please note that previous experience in neuroscience is not required. Appointments are made at the rank of Associate Research Scholar for one year, and are renewable for up to three years based on performance. PhD is required at the time of appointment.

The PNI focuses on interdisciplinary research in neuroscience, spanning from molecular, cellular and genetic approaches to systems and human cognitive neuroscience. PNI houses state of the art facilities for experimental research in all of these areas, as well as advanced computational resources that support theoretical and quantitative approaches to neuroscience.

The CV Starr Fellowship program provides a generous salary and a modest annual research budget. Fellows are encouraged to pursue independent research with the guidance and mentorship of one or more core faculty members in the Institute. We are particularly interested in projects that bridge the research programs of multiple laboratories. Fellows also have the opportunity to teach in our Institute programs, subject to approval by the Dean of the Faculty.

For more information about the Institute, see http://pni.princeton.edu

Candidates must apply online at https://jobs.princeton.edu (requisition # 1600531) and submit a CV, a list of publications, a statement of research interests and goals, and contact information for three references.   The application deadline is November 28, 2016.

Essential Qualifications:  PhD is required at time of appointment

Princeton University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. This position is subject to the University’s background check