Postdoctoral Fellow MR / PET Imaging in Aging & Dementia
Posted 24 Sep 2019
Interested applicants should send a CV and cover letter stating experience and interests to ADC@northwestern.edu.
Northwestern University’s Mesulam Center for Cognitive Neurology and Alzheimer’s Disease is seeking a postdoctoral fellow focused on neuroimaging research using MRI and PET. The collaborative group conducts research on super aging, Alzheimer's disease, primary progressive aphasia and related dementias.
Fellows may develop and automate the preprocessing and analysis of large-scale neuroimaging data sets involving PET and MR imaging. This will involve implementing state-of-the-art methodologies, including signal processing and statistical learning, on a high performance computing cluster.
The individual may participate in publications and presentations resulting from the work.
This individual will work with Emily Rogalski (Northwestern Alzheimer's Disease Center Imaging Core Leader) and her collaborators Todd Parrish (director of the Center for Translation Imaging) and Lei Wang (director of the Applied Computational Anatomy Lab) at Northwestern University’s Feinberg School of Medicine.
Successful candidates will have a Ph.D. in computer science/engineering, biomedical engineering, neuroscience, or a related field. A successful applicant will be proficient in programming (Python or related language); be familiar with scientific-computing such as NumPy, SciPy, and Pandas and neuroimaging libraries such as FreeSurfer, FSL, AFNI, SPM; and have the ability to work effectively in a multidisciplinary collaborative environment.
Experience with a single imaging modality (sMRI, DTI, rsfMRI and/or PET) is required with a particular emphasis on multimodal approaches.