Two Postdoctoral positions at the Manoach Lab @ MGH / Harvard Medical School

Postdoctoral Fellowship 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.






The position will involve investigating the role of sleep in memory consolidation,
how these processes go awry in schizophrenia and autism, and the effects of
pharmacological and other interventions.  Our work has linked cognitive deficits to
specific heritable mechanisms (sleep spindles and other sleep oscillations) and we
are seeking effective interventions.  In collaboration with Dr. Robert Stickgold’s
lab at Beth Israel Deaconess Medical Center, we are extending and expanding this
basic and clinical research program using state-of-the art tools including high
density EEG, MEG, DTI, functional connectivity MRI, fMRI, and behavioral studies. 
We are seeking someone to participate in these foundation and NIMH-funded
investigations who is familiar with cognitive neuroscience, neuroimaging methodology
including MEG and/or EEG and data analysis, and is interested in developing 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, as well as with Dr. Stickgold, other Martinos Center investigators, particularly
Dr. Matti Hamalainen, Director of the MEG Core Lab, and lab mates to design studies,
acquire data, and develop, explore, improve and apply data analytic techniques.
Training in clinical research and in the acquisition, analysis, and interpretation
of neuroimaging data will be provided.






Requirements: PhD (or MD) in cognitive neuroscience, psychology or a related
discipline and a strong research background are required. The ideal candidate will
have a background in MEG and/or EEG methodology; research experience with clinical
populations; experience in task design and analysis for cognitive experiments;
fluency with statistical analysis packages. A background in computational
neuroscience and/or signal processing (e.g., in Matlab) are beneficial PS. Here they
are, distribute however you see fit.






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 Dara
Manoach <Dara.Manoach@mgh.harvard.edu<mailto:Dara.Manoach@mgh.harvard.edu>>. 
Stipend levels are in line with experience and NIH.  A two-year commitment is
required.




Postdoctoral Fellowship 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: Signal Processing/Computational Neuroscience/Methodological
Innovation
Project: Multimodal neuroimaging studies of sleep and memory
PI: Dara S. Manoach, Ph.D.
The position will involve investigating the role of sleep in memory consolidation,
how these processes go awry in schizophrenia and autism, and the effects of
pharmacological and other interventions. Our work has linked cognitive deficits to
specific heritable mechanisms (sleep spindles and other sleep oscillations) and we
are seeking effective interventions.  In collaboration with Dr. Robert Stickgold’s
lab at Beth Israel Deaconess Medical Center, we are extending and expanding this
basic and clinical research program using state-of-the art tools including high
density EEG, MEG, DTI, functional connectivity MRI, fMRI, and behavioral studies. 
We are seeking someone to participate in these foundation and NIMH-funded
investigations who is familiar with MEG/EEG methodology and data analysis,
comfortable with methodological innovation, and is interested in optimizing and
developing 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, as well as with
Dr. Stickgold, other Martinos Center investigators, particularly Dr. Matti
Hamalainen, Director of the MEG Core Lab, and lab mates to design studies, acquire
data, and develop, explore, improve and apply data analytic techniques. Training in
clinical research and in the acquisition, analysis, and interpretation of
neuroimaging data will be provided.  This is an excellent opportunity for scientists
with a strong interest in clinical multimodal neuroimaging research.


Requirements: PhD in neuroscience, engineering or a related field and a strong
research background are required. Ideal candidates would have extensive experience
in data analysis and/or an engineering background, be proficient in Matlab/Python
and be interested in methods development. The following are beneficial: experience
with MEG/EEG data analysis/methodology; background in cognitive neuroscience,
experimental psychology and sleep; interest in clinical applications.


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 Dara
Manoach <Dara.Manoach@mgh.harvard.edu<mailto:Dara.Manoach@mgh.harvard.edu>>. Stipend
levels are in line with experience and NIH.  A two-year commitment is required.

-------------------------
Sheraz Khan, M.Eng, Ph.D.
Instructor in Neurology


Athinoula A. Martinos Center for Biomedical Imaging
Massachusetts General Hospital
Harvard Medical School


McGovern Institute for Brain Research
Massachusetts Institute of Technology




Email: sheraz@nmr.mgh.harvard.edu
       sheraz@mit.edu
Web:   http://sheraz.mit.edu