Current Open Positions

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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.

Specific duties:

  • 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.

Qualifications: Bachelor’s degree or higher in computational biology, physics/earth science/engineering, or computer science. Experience: Programming in Javascript and one or more of the following: Python/MATLAB, Linux, and web. Experience with large data sets (i.e. earth science, astronomy, medical imaging) and/or SQL. Version control with github. Ability to express ideas and collaborate with users with less-computational backgrounds.

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 (dwtank@princeton.edu), Carlos Brody (brody@princeton.edu), Mark Goldman (msgoldman@ucdavis.edu), Jonathan Pillow (jpillow@princeton.edu), Sebastian Seung (sseung@princeton.edu), Sam Wang (sswang@princeton.edu), and Ilana Witten (iwitten@princeton.edu). 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, heum@ucdavis.edu.  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. 

 

Research specialist I

The Princeton Neuroscience Institute has a Research Specialist position available to work for BRAIN COGS. This multi-laboratory project seeks to understand how multiple brain regions work together to carry out cognitive processing, using mice as a model system for mammalian brain function.

The primary responsibility of this position is to provide support for the efforts of multiple laboratories. A principal project is understanding how multiple brain regions work together in working memory and decision-making. BRAIN COGS is a collaboration with Carlos Brody, Mark Goldman (UC Davis), Jonathan Pillow, Sebastian Seung, David Tank, Sam Wang, and Ilana Witten.

The ideal applicant will be an energetic, self-directed person with previous research experience and animal tissue handling. He/she should be comfortable with computer-based analysis and the handling of giga/terabyte-scale data. This is a one-year position with the possibility of renewal based on funding and performance. A commitment of at least two years is preferred.

The principal activity is to perform post-experiment alignment and reconstruction of brains from imaging and after-genetics-experiments. Duties will include:

  • Collaboration with graduate students or postdoctoral research fellows in the participating laboratories to harvest brains after  imaging, optogenetics, or electrophysiology experiments.

  • Clearing (uDISCO), fluorescence labeling, and light-sheet microscopic reconstruction of expression patterns.

  • Computer-based registration of brains using the Allen Brain Atlas.

  • Quantitative analysis of fluorescence signals, including automatic cell recognition using custom Python scripts.

    The principal activity is to perform post-experiment alignment and reconstruction of brains from imaging and after-genetics-experiments. Duties will include:

    • Collaboration with graduate students or postdoctoral research fellows in the participating laboratories to harvest brains after  imaging, optogenetics, or electrophysiology experiments.

    • Clearing (uDISCO), fluorescence labeling, and light-sheet microscopic reconstruction of expression patterns.

    • Computer-based registration of brains using the Allen Brain Atlas.

    • Quantitative analysis of fluorescence signals, including automatic cell recognition using custom Python scripts.

Qualifications: A bachelor's degree in a science or engineering field is required, along with previous research experience. A degree in natural science, engineering, or computing-related field is highly preferred. A master's degree is a plus.

Applicants should apply here https://research-princeton.icims.com/jobs/9720/research-specialist-i/job and include a cover letter, a CV, and a list of at least two potential referees, and also email this information to Sam Wang (sswang@princeton.edu). Review of applications will continue until the position is filled. The final candidate will be required to successfully complete a background check.

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