IMAGING Software Product developer
The BRAIN Circuits of coGnitive Systems project at Princeton University seeks a software developer to build a geographic information system (GIS)-based system to access, curate, and visualize brain data. The completed product will put a wide variety of data into a single universal coordinate frame, for purposes of sharing among many labs at Princeton - and possible applications worldwide. This position will contribute to cutting-edge neuroscience research and push the frontier of large-scale data science.
BRAIN CoGS is a lively community spanning half a dozen leading laboratories that collaborate to study how brain circuits generate working memory and decision-making. This project is supported by the National Institutes of Health’s Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative. Methods include two-photon, three-photon, and light-sheet microscopy; optogenetics; deep-brain imaging and many-electrode recording; transsynaptic circuit tracing; GFP-based probes of brain circuit activity; and machine learning.
Related staff to this position are being hired to support a variety of data-intensive tasks, including full connectome reconstruction, fast animal pose estimation with deep neural networks, and even data science to support election reform.
Goal: Develop a software product to access, curate and visualize single-cell neuroscientific data using a GIS-based system called Whole Brain Software (http://wholebrainsoftware.org). When complete, this product will support automated neuron recognition, registration to a shared coordinate system for the mouse brain, and a pipeline for visualization, archival, and analysis.
User and server management;
Implementing methods for machine-learning-based analysis of neurons;
Automated registration to GIS/WholeBrainSoftware;
Database curation and analysis; and
Support for scientists in the BRAIN CoGS community.
Princeton University is an Equal Opportunity/Affirmative Action 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. EEO IS THE LAW
Neural circuit dynamics of working memory
BRAIN CoGS seeks talented postdoctoral or more senior researchers for our NIH BRAIN Initiative-funded project, starting immediately. This multi-investigator project involves studying the neural circuit dynamics underlying working memory during "accumulation-of-evidence" tasks in rodents.
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 (email@example.com), Carlos Brody (firstname.lastname@example.org), Mark Goldman (email@example.com), Jonathan Pillow (firstname.lastname@example.org), Sebastian Seung (email@example.com), Sam Wang (firstname.lastname@example.org), and Ilana Witten (email@example.com). Applicants are welcome to contact one or more of the investigators for more information.
Successful applicants will take a collaborative approach spanning multiple laboratories, and to take advantage of the thriving and growing neuroscience community at Princeton University and UC Davis. A list of current researchers involved in BRAIN CoGS can be found here. 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, firstname.lastname@example.org. 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.
Princeton University and UC Davis are equal opportunity/affirmative action employers 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. The positions are subject to the Universities' background check policy.