A postdoctoral position is available for working in an NIH-funded BRAIN initiative project focused on understanding the computational principles and neural circuit mechanisms that underlie complex interactions across distributed circuits during brain function.  

The candidate will be responsible for developing data analysis and statistical modeling methods to characterize simultaneous LFP and spike train recordings from multiple brain regions during decision-making tasks. The successful candidate will have a strong background in statistics and computer programming; experience in interdisciplinary neuroscience research is preferred, although not essential.

The position is based at Boston University in the labs of Uri Eden and Mark Kramer. The project is highly interdisciplinary and will involve frequent and extensive interactions with experimentalists at UCSF (Loren Frank) and Cold Spring Harbor (Adam Kepecs). Please contact Uri Eden or Mark Kramer (see links below) for more information.  Boston University offers a vibrant community of statistical, mathematical, and neuroscience faculty and students, and many opportunities for collaboration within and outside the University.