Current Open Positions

Research Software Engineer

The Princeton Neuroscience Institute at Princeton University seeks a Research Software Engineer to develop web-based applications to curate, visualize and analyze terabyte-scale brain data. The completed software applications will be deployed in the cloud and will make use of continuous integration testing and continuous delivery (CI/CD) practices. Proficiency in Python, JavaScript, and MySQL (or similar query language) is essential. Experience with TypeScript, Flask and/or Django frameworks, and cloud computing platforms such as

AWS/Google Cloud is highly desirable.

The work will contribute to cutting edge neuroscience research in two multi-lab collaborations. The first, BRAIN Circuits Of coGnitive Systems braincogs.org is a lively community spanning half a dozen leading laboratories at Princeton University and the University of California, Davis that collaborate to study how brain circuits generate working memory and decision making.

The second, BrainSharer, is a recently funded neuroinformatics project based at Princeton and University of California, San Diego that will develop a web platform for visualization and analysis of terabyte-scale brain datasets for use across multiple collaborating laboratories.

The software engineer will develop well tested code and lead the development project. They will work in close collaboration with other software developers and meet regularly with local and remote scientists. They will tailor the software to meet the scientific needs of the collaborations.

Goal: Develop, document, and then maintain software frameworks for brain data curation, visualization and analysis.

Specific duties:

1. Development, in frequent consultation with scientists, of a software framework for visualization and analysis of neuroanatomical data

2. Documentation of this framework as it is developed

3. Maintaining and adapting a Flask application for managing the microscopy facility

4. Database design

5. Support for scientists in the BRAIN CoGS and BrainSharer communities.

Term of employment:

One year, renewable. The position is on-site at Princeton. U.S. work visa available.

Qualifications:

• Bachelor's degree or higher in Computer Science or related area and at least two (2) years of experience in full stack

Web development; or an equivalent combination of education and/or experience.

• Highly advanced skills associated with software specification, design, modification, implementation and deployment of large-scale scope.

• Proficient programming in python, numpy, pandas, and jupyter notebook.

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.
Interested applicants must apply online at https://research-princeton.icims.com/jobs/14000/research-software-engineer/job

Postdoctoral researcher/Princeton

The Princeton Neuroscience Institute seeks talented postdoctoral or more senior researchers for an NIH BRAIN Initiative project to start during the 2021/22 academic year. 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 (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. 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/19944 and include a cover letter, curriculum vitae, a brief statement of research interests, and contact information for at least two references. 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.

Postdoctoral Researcher/UC Davis

The Goldman laboratory at the University of California at Davis seeks talented postdoctoral or more senior researchers for an NIH BRAIN Initiative project to start during the 2019/20 academic year.

In collaboration with Princeton University, 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 with the research groups of David Tank (dwtank@princeton.edu), Carlos Brody (brody@princeton.edu), Jonathan Pillow (jpillow@princeton.edu), Sebastian Seung (sseung@princeton.edu), Sam Wang (sswang@princeton.edu), and Ilana Witten (iwitten@princeton.edu).

Successful applicants will work collaboratively with the Princeton University research team through remote and in-person visits to Princeton. In addition, they will be part of the recently expanded UC Davis computational neuroscience (5 Theory Faculty) and decision-making (4 Core Faculty) communities, bolstered by the Initiative in Computational Sciences (http://comphip2017.ucdavis.edu/).

UC Davis, the #5 US public university (Wall Street Journal/Times Higher Education College Ranking) is located 1 hour from the San Francisco Bay Area. Interested applicants should send a cover letter, curriculum vitae, a brief statement of research interests, and contact information for at least two references to Mark Goldman (msgoldman@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.