Postdoctoral Fellow

Postdoctoral Fellow at the Martinos Center for Biomedical Imaging and the Psychiatric Neuroimaging Division of the Psychiatry Department at Massachusetts General Hospital, Charlestown, MA and Harvard Medical School

Position Description: Clinical/Cognitive Neuroscience Research

Project: Multimodal neuroimaging studies of sleep and memory

PI: Dara S. Manoach, Ph.D.

We are seeking a postdoctoral fellow to participate in studies of the role of sleep in memory consolidation, how these processes go awry in neurodevelopmental disorders such as schizophrenia, autism, and pediatric epilepsy. Our work has linked cognitive deficits to specific heritable mechanisms (sleep spindles and other sleep oscillations) and we are both developing and evaluating pharmacological and non-invasive brain stimulation interventions to enhance sleep oscillations and their coordination to improve memory. This basic and clinical research program uses state-of-the art tools including high density EEG, MEG, DTI, functional connectivity MRI, fMRI, intracranial and behavioral studies. We are seeking someone to participate in these foundation and NIMH-funded investigations who is familiar with cognitive neuroscience, neuroimaging/neurophysiology methodology (particularly MEG and/or EEG), and data analysis, and is interested in developing clinical research questions and optimizing analysis streams tailored to the study aims and populations. New approaches and ideas are encouraged, as are independent projects that dovetail with current studies. The position requires working closely with the PI, MGH and external collaborators, and labmates to design studies, acquire data, interpret findings, write papers, and develop, improve and apply data analytic techniques. Training in clinical research and in the acquisition, analysis, and interpretation of neuroimaging/neurophysiology data will be provided.

Requirements: PhD (or MD) in neuroscience, psychology, engineering or a related discipline and a strong research background are required. Ideal candidates would have extensive experience in data analysis, a background in computational neuroscience and/or signal processing and be proficient in Matlab/Python. The following are also beneficial: experience with MEG/EEG data analysis/methodology, background in cognitive neuroscience, experimental/clinical psychology and sleep; interest/experience with clinical populations; and experience in task design and analysis for cognitive experiments.

Position available immediately.  Interested applicants should email: (a) CV, (b) statement of post-doctoral and career goals, (c) writing sample (e.g., a published manuscript), and (d) letters and/or contact information for three references to  Stipend levels are in line with experience and NIH.  A two-year commitment is required.