[BIC-announce] Positions-available-BIC

[Andrea Bernasconi]

Please see below |Two positions available in the Neuroimaging of Epilepsy
Laboratory (NOEL) of the McConnell Brain Imaging Centre (BIC)

Neda Ladbon-Bernasconi, MD PhD
Andrea Bernasconi, MD
NOEL website: http://www.bic.mni.mcgill.ca/~noel/index.html



1)    Postdoctoral Fellow

We are looking for a Post-doctoral Fellow to join the Neuroimaging of
Epilepsy Laboratory (NOEL).
 
NOEL is part of the McConnell Brain Imaging center (BIC) of the Montreal
Neurological Institute and Hospital of McGill University (Montreal, Canada).
The BIC is an internationally recognized and multidisciplinary centre of
excellence in neuroimaging research that is at the hub of a large group of
investigators and trainees. We are part of the Epilepsy Group at the
Montreal Neurological Hospital, a tertiary center that evaluates
approximately 200 patients admitted each year for pre-surgical investigation
of drug-resistant seizures.
 
Our lab provides a unique environment fostering links between graduate
students and postdoctoral fellows in Neuroscience, Computer Science,
Engineering, and Neurology. This multidisciplinary research environment has
put NOEL in a unique position to generate a wide range of research
perspectives and to develop novel methods of investigation that can directly
impact the management and quality of care of patients with epilepsy
Our research combines structural and functional MRI with statistical
modeling to provide a comprehensive view of the biological basis of
epilepsy. Main research topics include automated lesion detection through
computational modeling and machine learning, subcortical and cortical brain
segmentation, analysis of brain networks based on graphtheoretical methods
and independent component analysis, and modeling of disease progression.
 
Starting date: Immediately or upon agreement.
Duration: Minimum 2 years
Job description: Development and application of new methodological
approaches in structural and functional imaging of epilepsy aimed at
improving disease understanding and developing image-based biomarkers.
Requirements: PhD degree in Biomedical Engineering, Neuroscience or Computer
Science, Experience in MRI processing and analysis, Proven programming
experience, Strong publication record, Strong communication skills in
English (spoken and written), Ability to work in a multidisciplinary team
Skills: C/C++, Matlab, MRI processing and analysis (e.g., MINC, FSL, AFNI),
computational modeling, software engineering, machine learning, advanced
statistics
Salary: Competitive, depending on qualifications and experience, Career
development, Opportunity to advance to a Research Associate position,
depending on performance
Required documents: Cover letter, Full CV (including transcripts and
publications), Two letters of reference (including one from the PhD
Supervisor), 
Closing date: March 1st, 2013
Send application to:
neda.ladbon-bernasconi at mcgill.ca
andrea.bernasconi at mcgill.ca
 
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2)    Graduate Student ­ PhD level

We are looking for a Graduate Student to join the Neuroimaging of Epilepsy
Laboratory (NOEL)
 
NOEL is part of the McConnell Brain Imaging center (BIC) of the Montreal
Neurological Institute and Hospital of McGill University (Montreal, Canada).
The BIC is an internationally recognized and multidisciplinary centre of
excellence in neuroimaging research that is at the hub of a large group of
investigators and trainees. We are part of the Epilepsy Group at the
Montreal Neurological Hospital, a tertiary center that evaluates
approximately 200 patients admitted each year for pre-surgical investigation
of drug-resistant seizures Our lab provides a unique environment fostering
links between graduate students and postdoctoral fellows in Neuroscience,
Computer Science, Engineering, and Neurology. This multidisciplinary
research environment has put NOEL in a unique position to generate a wide
range of research perspectives and to develop novel methods of investigation
that can directly impact the management and quality of care of patients with
epilepsy.
 
Our research combines structural and functional MRI with statistical
modeling to provide a comprehensive view of the biological basis of
epilepsy. Main research topics include automated lesion detection through
computational modeling and machine learning, subcortical and cortical brain
segmentation, analysis of brain networks based on graph-theoretical methods
and independent component analysis, and modeling of disease progression.
 
Starting date: According to McGill academic 2013 calendar
http://www.mcgill.ca/ipn/
Requirements: Master¹s degree in Neuroscience, Computer Science, or
Biomedical Engineering, Experience in image processing of the brain is an
asset, Good mathematical and statistical background, Strong communication
skills in English (spoken and written), Ability to work in a
multidisciplinary team
Skills: Experience with Unix/Linux operating systems, and scripting
languages, C/C++, Matlab, Knowledge in advanced statistics is an asset
Required documents: Cover letter, Full CV (including official transcripts
and publications), Two letters of reference (including one from the Master¹s
Supervisor)
Send application to:
neda.ladbon-bernasconi at mcgill.ca
andrea.bernasconi at mcgill.ca
 

(Please do not reply to this e-mail)



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