The Princeton Neuroscience Institute seeks talented postdoctoral or more senior researchers for an NIH BRAIN Initiative project to start during the Fall 2018 semester. In collaboration with the University of California, Davis, this multi-investigator project involves studying the neural circuit dynamics underlying working memory during "accumulation-of-evidence" tasks in rodents. See our website here: www.braincogs.org.
Our goal is to understand working memory at a brain-wide, integrative level. Brain regions to be investigated include frontal, parietal, and sensory cortices, striatum, hippocampus, and cerebellum, with a view to achieving a whole picture of how these different brain structures work together dynamically to process, store, and transfer information to one another. The project is a collaborative effort between the research groups of David Tank (firstname.lastname@example.org), Carlos Brody (email@example.com), Mark Goldman (firstname.lastname@example.org), Jonathan Pillow (email@example.com), Sebastian Seung (firstname.lastname@example.org), Sam Wang (email@example.com), and Ilana Witten (firstname.lastname@example.org). Applicants are welcome to contact one or more of the investigators for more information.
Successful applicants will take a collaborative approach spanning multiple laboratories. They can take advantage of the thriving and growing neuroscience community at Princeton University as well as working (remotely) with the neuroscience community at UC Davis. We are currently seeking candidates with experience in rodent behavior, electrophysiological recordings, computational analysis, brain circuit anatomy, and optogenetic manipulations.
Activities will be supported by state-of-the-art facilities in the new building of the Princeton Neuroscience Institute, including advanced two-photon imaging and electron microscopy systems located in the Bezos Center for Neural Circuit Dynamics, and by the vibrant and rapidly expanding faculty in Computational Neuroscience and related fields at UC Davis supported by the Initiative in Computational Sciences (http://comphip2017.ucdavis.edu/).
Interested applicants must apply online at https://www.princeton.edu/acad-positions/position/8281 and include a cover letter, curriculum vitae, a brief statement of research interests, and contact information for at least two references. Applicants interested in computational modeling in the Goldman lab at UC Davis should additionally send the above materials to Hannah Eum, email@example.com. The initial term of employment is for one year with the possibility of reappointment based on satisfactory performance and continued funding. A Ph.D. in Neuroscience, Psychology, Physics, Math, Molecular Biology, Computer Science or related field or equivalent is required. This position is subject to the University’s background check policy.
Princeton University is an equal opportunity/affirmative action 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.
A Ph.D. in Neuroscience, Psychology, Physics, Math, Molecular Biology, Computer Science or related field or equivalent is required.
Internal Number: D-19-PNI-00001
About Princeton University
Understanding behavior at all levels of function, from systems to cells, is one of the great challenges of modern biology. At Princeton University, faculty with research interests in neuroscience can be found in many departments, including Applied Math, Chemistry, Engineering, Molecular Biology, Physics, Philosophy and Psychology. This diversity mirrors the interdisciplinary nature of contemporary neuroscience research and provides a rich set of opportunities for research and training in neuroscience. This web site provides information about the shared and individual interests of neuroscience faculty at Princeton, the opportunities available for training at the graduate and undergraduate levels, and neuroscience-related activities on campus.