We are excited to announce an open position for a postdoctoral researcher to work with an interdisciplinary team applying computational neural modeling and multi-scale data to study neural dynamics in health and neuropathology. The position is in the lab of Dr. Stephanie Jones in the Neuroscience Department and Center for Computational Brain Science at Brown University, with extensive collaboration with researchers and clinicians as part of a multi-institutional NIH CONTE Center on the Neurobiology and Cognitive Role of Slow Brain Network Fluctuations.
Our group develops a neural modeling software to bring human EEG/MEG signals to the underlying cell and circuit level generation that can be interrogated in animal models called The Human Neocortical Neurosolver (HNN). We also develop analysis tools to study electrophysiological signals in non-traditional ways (e.g. The Spectral Event Toolbox). The hired postdoc will work on expanding and applying the multi-scale HNN modeling framework to study the mechanisms and meaning of slow brain oscillations in behavior, using a data constrained framework. Candidates should have a PhD in neuroscience, computer science, and/or related field, and ideally experience in computational neuroscience methods. Neuroscience experience and strong python programming skills are required. Experience in building and/or using neural models is preferred. Familiarity with analysis of electrophysiological signals is also beneficial. Candidates should be able to work in a dynamic and interdisciplinary team environment. More about our lab can be found here.
Applications including CV, cover letter, and relevant publications can be submitted here.