Postdoctoral Research Fellow Position in Computational Neuroimaging at the A.A. Martinos Center, MGH and Harvard Medical School
A postdoctoral fellow is recruited for an NIH R01-funded project studying the brainstem arousal network in human consciousness, comparing healthy development vs SIDS. In this project we utilize high resolution ex vivo MRI combined with optical coherence tomography along with 5-HT immunocytochemistry in postmortem infant brains. Code development will focus developing, validating and distributing image processing and atlas building pipelines utilizing high resolution postmortem MRI, OCT and histological images. The tools resulting from this project will be made publicly available to the research community by integrating them into our laboratory's popular FreeSurfer software package (50,768 licenses downloaded as of March 2021).
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, PyTorch, Tensorflow) 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 and an established publication track record.
This position will be hosted by the Laboratory of Computational Neuroimaging, MGH and it offers great opportunities to collaborate with a large group of scientists from diverse research disciplines. Collaborating groups include, for example, BCH Pathology, MGH Neurology and Radiology as well as physicists, anatomists and imaging scientists from MGH.
Approximate start date is fall 2021. The duration of the contract is two years, with a possibility of further extension. The position is full-time with benefits and available immediately. Salary will be based on qualifications and experience. For consideration please send a statement of interest (max 1 page), a CV (max 4 pages) and a list of three potential references via email to Lilla Zöllei, PhD (lzollei [at] mgh.harvard.edu). The search will continue until the position is filled.
The Massachusetts General Hospital is an Equal Opportunity/Affirmative Action Employer.
