[Mne_analysis] MNE Postdoc opportunities

Sheraz Khan, PhD sheraz at nmr.mgh.harvard.edu
Tue Jan 8 08:04:12 EST 2019
Search archives:

On the behalf of Dr. Matti Hämäläinen (msh at nmr.mgh.harvard.edu)

[Apologies for cross posting]

----------------------------------------------------------------------------
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
----------------------------------------------------------------------------

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.

----------------------------------------------------------------------------


Position2: 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.

----------------------------------------------------------------------------
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.

**********************************************************

Contact: Matti Hämäläinen
msh at nmr.mgh.harvard.edu
Athinoula A. Martinos Center for Biomedical
Massachusetts General Hospital and Harvard Medical School
Boston, MA, USA

**********************************************************








More information about the Mne_analysis mailing list