[Mne_analysis] Two Post-doc Positions in Cleveland Clinic Epilepsy Center

[sheraz at nmr.mgh.harvard.edu]

On behalf of Dr. John C. Mosher
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Two Post-doc Positions Available at the Cleveland Clinic Epilepsy Center

Two post-doctoral positions are immediately (October 2015) available
at the Epilepsy Center in the Cleveland Clinic Neurological Institute,
Cleveland, Ohio, USA. Each is supported as part of grants with the
National Institutes of Health. Details of the positions and how to
apply are summarized below and can be found on the research website at


http://www.lerner.ccf.org/jobs/postdoc/view.php?id=653  (“SEEG Brain Atlas”)

http://www.lerner.ccf.org/jobs/postdoc/view.php?id=654  (“Brainstorm”)


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How to Apply

Send cover letter stating research interests along with a brief
resume, both preferably in PDF format, to jcmosher at gmail.com.

For further background, please see John C. Mosher, PhD
(http://neuroimage.usc.edu/brainstorm/AboutUs/JohnMosher)

Submission of resumes will be considered an expression of interest in
the available opportunity. Applicants who best meet the education and
experience requirements of the position will be contacted by the
interviewing department and invited to formally apply for
consideration. Cleveland Clinic is proud to be an equal opportunity
employer and a smoke-free/drug-free environment.


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POSITION ONE:


Electrophysiological Connectivity Analysis of MEG and Invasive EEG Data


“Electrophysiological brain atlas fusing stereo-EEG (SEEG),
magnetoencephalography (MEG), and MRI to study functional and
effective connectivity.”


A Postdoctoral Research position is available immediately to work on
brain network analysis with a focus on integrating
electrophysiological (MEG and SEEG) measures with anatomical MR
imaging data and hemodynamic fMRI. This position requires knowledge of
the models and methods used for connectivity modeling, and the
mathematical and software background to develop and implement novel
approaches.


This effort is part of an NIH-supported project to develop a
multimodal brain connectivity atlas in collaboration with between John
Mosher in the Epilepsy Center at the Cleveland Clinic and Richard
Leahy in the Signal & Image Processing Institute at the University of
Southern California. Data in the atlas will include spontaneous and
evoked invasive and noninvasive electrophysiology data, and
structural, resting and diffusion MRI. Imaging from fMRI, SPECT, and
PET will also be imported.


The position will also involve working with and contributing to the
Brainstorm software (http://neuroimage.usc.edu/brainstorm/), a
Matlab-based toolbox being developed among USC, Cleveland Clinic,
McGill University, and Massachusetts General Hospital
(http://neuroimage.usc.edu/brainstorm/AboutUs). This program is part
of a separate NIH-supported project to advance electrophysiological
modeling and visualization.


The preferred candidate will have published research in connectivity
mapping using either electrophysiological data or resting state fMRI.
MATLAB programming skills are preferred. Familiarity with the existing
research packages in this grant or others (e.g. AFNI, FSL), or with
other atlases (e.g. The Virtual Brain) is a plus. The position is open
for four years, subject to annual review and renewal. Salary starting
at NIH guidelines for the years of post-doc experience.


Qualifications


- PhD in Electrical Engineering, Biomedical Engineering, Statistics,
Computer Science, Physics, Neuroscience or related fields.

- Publications related to brain mapping, source modeling, or resting
state analyses.

- Programming experience in Matlab (preferred), Java, or Python, in
the unix, linux, or OS X environment.

- Proficiency in spoken and written English.



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POSITION TWO:


Advanced Electrophysiological Source Modeling and Visualization


“Programming and Testing of the Brainstorm EEG/MEG Research Software”


A Postdoctoral Research position is available immediately to research
and implement source localization and visualization of clinical
electrophysiological data (MEG, EEG, ECoG, SEEG), testing and
improving the Brainstorm software (McGill / USC) and the MNE software
(MGH). The position requires familiarity with source modeling
concepts, with strong computer skills, preferably MATLAB. A PhD is
preferred, but a Master’s degree acceptable for the candidate with
strong programming skills.


This effort is part of an NIH-supported project to to advance
electrophysiological modeling and visualization software. The
multi-institutional projects includes teams lead by Matti Hamalainen
at Massachusetts General Hospital, Richard Leahy at the University of
Southern California, and Sylvain Baillet at McGill University. The
candidate will contribute to the Brainstorm software
(http://neuroimage.usc.edu/brainstorm/), a Matlab-based toolbox being
developed among USC, Cleveland Clinic, McGill University, and
Massachusetts General Hospital
(http://neuroimage.usc.edu/brainstorm/AboutUs).


The position is open for 18 months, with possible extension dependent
on competitive renewals of grant funding. Salary starting at NIH
guidelines for the years of master’s level or post-doc experience.



Qualifications


- PhD (Preferred) or Masters in Electrical Engineering, Biomedical
Engineering, Statistics, Computer Science, Physics, Neuroscience or
related fields.

- Strong programming experience, preferably in Matlab or Java,
preferably in the unix, linux, or OS X environment.

- Proficiency in spoken and written English.