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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 [log in to unmask]

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.