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Northwestern University’s Mesulam Center for Cognitive Neurology and Alzheimer’s Disease Imaging Core is seeking a research associate or postdoctoral fellow.
Prior experience with Alzheimer's disease is *not a requirement*.
The primary responsibility of this position is to develop and automate the preprocessing and analysis of large-scale neuroimaging datasets 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 (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. The Mesulam Center is located on the downtown campus, nestled between the Magnificent Mile and the city's beautiful lakefront.
Successful candidates will have a Ph.D. or M.S. 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; 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.
Interested applicants should send a CV and cover letter stating experience and interests, two or three peer-reviewed publications, and at least two letters of recommendation to ADC@northwestern.edu.