The Princeton Neuroscience Institute has an Associate Professional Specialist position available to work for BRAIN COGS,http://www.braincogs.org/. 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 Princeton-centered collaboration with Carlos Brody, Mark Goldman (UC Davis), Jonathan Pillow, Sebastian Seung, David Tank, Sam Wang, and Ilana Witten.
The principal activity is to perform post-experiment alignment and reconstruction of brains from imaging and after optogenetics 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.
Managing needs of multiple labs.
Establishing workflow and a data hub.
Computer-based registration of brains using the Allen Brain Atlas.
Quantitative analysis of fluorescence signals, including automatic cell recognition and higher-level analysis using custom Python scripts.
The ideal applicant will be an energetic, self-directed person with previous managerial and research experience and animal tissue handling. He/she should be comfortable with computer-based analysis and the handling and curation of terabyte-scale data. Familiarity with bioinformatic methods a plus.
Qualifications: A PhD in computer science or a science/engineering field is required, along with previous research experience. A degree in natural science, engineering, or computing-related field is highly preferred.
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. The final candidate will be required to successfully complete a background check.
A PhD in computer science or a science/engineering field is required
Previous research experience
A degree in natural science, engineering, or computing-related field is highly preferred
Internal Number: D-19-PNI-00002
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.