See the attached pdf or the text below.
Lilla
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A postdoctoral fellow is recruited for two NIH funded projects focusing on
developing Freesurfer-compatible brain image analysis tools for children.
One project aims to extend the tools for brain imaging data for children
between 2-6 years of age. The second project aims to extend the tools
for longitudinal analysis of developmental data from older children and
adolescents as part of the Human Connectome Project in Development. Code
development will focus on pair- and group-wise registration tools,
segmentation methods and surface-based image analysis algorithms.
The successful applicant should have a doctoral degree in a field related
to medical imaging (e.g., computer science, electrical engineering,
biomedical engineering, applied mathematics, computational neuroscience).
She/he is expected to have a strong research background in method
development and brain image analysis and should be able to work
independently. Strong programming skills (for example, C/C++, MATLAB,
and/or Python) are a must and prior experience with brain image-analysis
packages (such as SPM, FSL, FreeSurfer, AFNI) is desirable. In addition,
the candidate must also possess excellent English verbal and written
communication skills.
This position will be hosted by the Laboratory of Computational
Neuroimaging, MGH and it will offer great opportunities to collaborate
with a large group of scientists from diverse research
disciplines. Approximate start date is winter 2017. Successful applicants
will be appointed at Massachusetts General Hospital, Boston. For
consideration please send a statement of interest, a CV and a list
of three potential references via email to Lilla Zöllei, PhD
(lzollei(a)nmr.mgh.harvard.edu) The search will continue until the position
is filled.
We are an equal opportunity employer and all qualified applicants will
receive consideration for employment without regard to race, color,
religion, sex, sexual orientation, gender identity, national origin,
disability status, protected veteran status, or any other characteristic
protected by law.