[info] MNE Postdoc opportunities @ Harvard Medical School & Massachusetts General Hospital
Ignatius S. Condro Atmawan B.
From: Sheraz Khan <she...@mit.edu>
Date: Tue, Jan 8, 2019 at 7:37 PM
On behalf of Dr. Matti Hämäläinen (m...@nmr.mgh.harvard.edu)
[Apologies for cross posting]
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The academic MEG/EEG software packages are becoming more and more important to the field as new new sensor technologies are being applied and new commercial MEG systems are becoming available. We welcome new young scientists to become part of this endeavor!
With best regards,
Matti
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There are two postdoctoral positions available in the MNE projects at:
Athinoula A. Martinos Center for Biomedical
Massachusetts General Hospital and Harvard Medical School
Position 1: Postdoctoral Research Fellow (MNE-Python)
Overview: Applications are invited for a Postdoctoral Research Fellow available at the Massachusetts General Hospital Athinoula A. Martinos Center for Biomedical Imaging (www.nmr.mgh.harvard.edu). The postdoctoral fellow will also be affiliated with Harvard Medical School. We are using electrophysiological recordings in combination with anatomical and functional MRI to understand the functions of the healthy brain and how they are altered in neurological and psychiatric diseases. We capitalize on the insights from our basic and clinical research to develop new methods and tools to be applied in clinical practice.
Responsibilities: The postdoc will work in an NIH-funded project whose overall aim is to provide well-documented and tested novel analysis software to promote both basic neuroscience and clinical research applications using MEG and EEG. In particular, during the past eight years we have developed, with NIH support, the MNE-Python software http://www.-martinos.org/mne/, which covers multiple methods of data preprocessing, source localization, statistical analysis, and estimation of functional connectivity between distributed brain regions. In this new project we will extend our software to meet the needs of a growing user base and reflect recent developments in the MEG/EEG field.
Requirements: Candidates should have a Doctoral degree in biomedical engineering, computer science or related fields. Strong Python programming skills are required and background and experience in acquiring and analyzing MEG/EEG data are highly desirable. Candidates need to be able to work in a modern software development environment and be familiar with controlled software development processes. A successful candidate is able to work in a dynamic, international, and collaborative work environment. He/She will gain experience in recording and analyzing electrophysiological data, working with state-of-the-art brain mapping technologies as well as engaging in top-level research. Familiarity with MEG/EEG and MRI analysis software packages, in particular MNE-Python and FreeSurfer is highly beneficial.
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Position 2: Postdoctoral Research Fellow (MNE-Scan)
Overview: Applications are invited for a postdoctoral position available at the Massachusetts General Hospital Athinoula A. Martinos Center for Biomedical Imaging (http://www.nmr.mgh.harvard.edu). The postdoctoral fellow will also be affiliated with Harvard Medical School. Our MEG/EEG laboratory is using electrophysiological recordings in combination with anatomical and functional MRI to understand the functions of the healthy brain and how they are altered in neurological and psychiatric diseases. Our ultimate goal is to capitalize on the insights from our basic and clinical research to develop new methods and tools to be applied in clinical practice.
Responsibilities: The Postdoctoral fellow will work in an NIH-funded project which aim is to develop a device-independent and real-time capable software (MNE Scan). MNE Scan is based on the MNE-CPP framework (www.mne-cpp.org) and will significantly increase the ease and efficiency of acquiring, monitoring, analyzing, and integrating electroencephalography (EEG), magnetoencephalography (MEG), electrocorticography (ECoG), and stereotactic EEG (SEEG) data. The MNE Scan software will format incoming electrographic data from any recording device for EEG, ECoG, SEEG, and MEG, store the data, carry out preprocessing for noise reduction and signal conditioning, display the incoming data in real time, and carry out the data analysis at the level of active tissues instead of the sensor level. Its realtime capability will provide immediate feedback to clinicians, enabling them to use this information for improving diagnosis and surgical management of epilepsy. Furthermore, MNE Scan will be used during neurofeedback experiments, including brain state dependent stimulation. The Postdoctoral fellow will work with other members of the investigative team to identify and develop new scientific use cases and research questions for the MNE Scan software described above. He will also work together with other investigators in the team to enhance source estimation and connectivity estimation methods to work efficiently in the real-time environment.
Requirements: The successful candidate must hold a Ph.D. degree in biomedical engineering, computer science, or related fields. A successful candidate will benefit from working in a dynamic, international, and collaborative supportive work environment. He/She will gain experience in recording and analyzing electrophysiological data, working with state-of-the-art brain mapping technologies as well as engaging in top-level research. Previous experience in acquiring and analyzing MEG/EEG data is a strength. Strong C++ programming skills and experience in the Qt toolkit are highly desirable. It is preferred that the candidate has familiarity with MEG/EEG and MRI analysis software packages, in particular MNE and FreeSurfer.
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Welcome to the MNE Family!
Massachusetts General Hospital is an equal opportunity employer. Full-time employees receive full benefits, competitive salaries, and excellent resources for career development.
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Contact: Matti Hämäläinen
Athinoula A. Martinos Center for Biomedical
Massachusetts General Hospital and Harvard Medical School
Boston, MA, USA
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