A postdoctoral fellow position in the Lab for Computational Neuroimaging (LCN) under Dr. Douglas Greve is available. We are seeking a highly motivated and talented researcher to pursue independent research. The role will be to develop new algorithms within FreeSurfer, including multi-modal, modality-independent surface placement and brain image segmentation (volume and surface) for both cross-sectional and longitudinal analysis. The projects will use conventional Bayesian and machine learning techniques. The work will mostly focus on structural MRI, but there will be applications to PET (PETsurfer) and fMRI (FSFAST).
The candidate should be an accomplished computer programmer with experience in brain image analysis, strong analytical skills, and an ability and desire to do independent research. The ideal candidate would hold a Ph.D. degree in Neuroscience, MR Physics, Biomedical Engineering, or a related field; however, strong candidates with other scientific backgrounds will also be considered. The candidate must have an interest in understanding FreeSurfer at a deep level and welcome the opportunity to leverage this understanding into public visibility through helping to maintain and support FreeSurfer.
Interested applicants are invited to send a cover letter describing research interests and experience, an up-to-date CV, and names and contact information of three references to: dgreve@mgh.harvard.edu
This position is full-time with benefits and is available immediately. The Massachusetts General Hospital and Harvard Medical School are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
best doug