Postdoctoral Research Fellow

Anthinoula A. Martinos Center for Biomedical Imaging
149 13th Street Charlestown #2301, Boston, MA 02129
Job Type: 
Full Time
Closing Date: 
Thursday, February 1, 2018

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 ( 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.