Applicants are invited for a full-time Postdoctoral Research Fellow position.
Responsibilities: Responsibilities will include two parts of a larger project. The first involves ultra high resolution MRI scanning of ex vivo samples and quantifying and optimizing the intrinsic CNR provided by different image contrasts (e.g. T1, T2, phase, etc...) The second involves algorithm development for registering structural acquisitions to histological scans and using function approximation/non-linear regression to approximate histology from MRI and vice versa. The fellow will become experienced in ultra high field MRI imaging and scanner sequence development as well as in multimodal imaging analysis. S/he will be expected to present findings at national meetings and compose related manuscripts.
Environment: The fellow will interact with a number of faculty members at the Martinos Center, representing a diverse set of skills including Bruce Fischl, Andre van der Kouwe, Lilla Zollei and Larry Wald, and have access to world class imaging and computational facilities including human scanners (1.5T, 3T, 7T), small-bore scanners (4.7T, 9.4T, 14T, 15T) and high-performance computing (a cluster of 1200 cpus).
Requirements: A PhD degree is required, preferably in computer science, bio-/ electrical engineering, physics or applied mathemetics. A strong computational/statistical background and good programming skills are essential (c/c++ and matlab). A general interest in brain research is important and Siemens IDEA programming skills are a bonus (but not required), as is some capability in hardware development/debugging. Some former experience with MRI analysis (especially with FreeSurfer/FS-FAST and/or SPM) and the Linux operating system can also be helpful.
Contact: Please email Lilla Zollei, (lzollei@nmr.mgh.harvard.edu) each of the following items, preferably in a single file: (1) CV including GPA and a list of relevant courses; (2) description of previous research experience; (3) statement of research goals and interests; (4) three references
The position is immediately available.
The Massachusetts General Hospital is an Equal Opportunity/Affirmative Action Employer.