Postdoctoral Research Scientist, Center for Theoretical Neuroscience, Columbia University

Location
New York City, New York (US)
Salary
Commensurate with experience
Posted
April 08 2021
Position Type
Full Time
Organization Type
Academia

A Postdoctoral Research Scientist position is available in the group of Dr. Ashok Litwin-Kumar at Columbia’s Center for Theoretical Neuroscience. The postdoc will develop tools for the analysis of synapse-level wiring diagrams (“connectomes”) and theoretical methods for understanding how network structure identified by such datasets constrains the dynamics of task-optimized neural networks. The development of such methods is important and timely given the increasing availability and scale of connectomic data.

The postdoc will be integrated into the large, vibrant neuroscience community at Columbia University of which the Center for Theoretical Neuroscience forms a key component. They will also have the opportunity to participate in strong existing collaborations with groups at Columbia, Janelia, Cambridge, and elsewhere focused on the generation and analysis of connectome data.

Applicants are expected to have a PhD in Physics, Mathematics, Computer Science, Statistics, Neuroscience, Biology, or a related discipline and, preferably, experience in theoretical neuroscience or the statistical analysis of neuroscience data.

All appointments are initially for one year and are renewable for at least three years given satisfactory performance. The salary is competitive.

Applicants should apply through Columbia’s job portal (https://pa334.peopleadmin.com/postings/7453) with the following:
1. CV, including a list of publications
2. Statement of research interests
3. Three letters of reference (reference writers should send their letters directly to yao2107@columbia.edu)

Columbia University is an Affirmative Action/Equal Opportunity employer. Columbia values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.