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The Brain Dynamics Lab <http://bdl.stanford.edu> at Stanford University has an immediate opening for a Postdoctoral Fellow to develop/apply computational methods that can quantify transitions in brain activity (or connectivity) in health and disease (specifically, major depression and ADHD). We use a number of neuroimaging modalities including simultaneous EEG-fMRI and EEG-fNIRS, structural/functional connectivity, and independent fMRI/fNIRS/EEG. We also use computational modeling (e.g., The Virtual Brain) for realistic bio-physical network model simulations and neuromodulation (e.g., TMS) to gain mechanistic understandings for the observed aberrant brain dynamics in patients with psychiatric illness. Computationally, we are interested in applying tools from Topological Data Analysis (TDA) - including Mapper and Persistent Homology - and Deep Learning (DL) to neuroimaging data. Successful applicants will have a background in several of the following areas: [1]Recording and analysis of EEG/fNIRS/fMRI data (simultaneous preferred) [2]Structural and dynamical functional connectivity/activity analyses [3]Experience with programming (e.g., Python, Matlab, etc) [4]Experience with computational methods (e.g., TDA, DL, etc.) A Ph.D. in Neuroscience, Psychology, Biomedical Engineering, or Computer Science, is preferred. The Brain Dynamics Lab (http://bdl.stanford.edu) is located in the Department of Psychiatry & Behavioral Sciences at Stanford University. We are part of a dynamic and vibrant neuroimaging division of the department (Division of Interdisciplinary Brain Sciences; DIBS). Interested candidates should send via email their CV, 2-3 representative papers, the names of three references, and a cover letter to [log in to unmask] The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding. The positions are available immediately and applicants will be considered on a rolling basis. ######################################################################## To unsubscribe from the FSL list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1