The Department of Diagnostic Radiology at Yale University is looking for a Postdoctoral Associate to work on real-time fMRI neurofeedback studies.
The primary project will be a study of real-time fMRI
neurofeedback in patients with obsessive-compulsive disorder, funded by a five-year
NIH grant that becomes active this summer. The methods used will be similar to those
previously described (Hampson et al., JoVE, 2012; Scheinost et al., Translational Psychiatry, 2013), but will be in a patient population rather than in healthy subjects.
The successful candidate will have the option to participate in a wide range of other functional neuroimaging projects, and to analyze existing data
sets, including real-time fMRI neurofeedback data from patients with Tourette Syndrome. The position provides
a great opportunity for training in both resting state functional connectivity analyses and real-time fMRI, as well as some
of the more conventional functional imaging approaches. Familiarity with functional neuroimaging data analysis, a programming
background, and experience with Linux are all assets, but not required. Critically, the candidate must have strong analytical/computational skills
and be interested in human functional brain imaging. A Ph.D. in neuroscience, biomedical engineering,
or a related field is required. The successful candidate will be expected to design and conduct complex analyses of functional
neuroimaging data, to prepare manuscripts for publication, and to present the results at scientific meetings. Applicants should
forward a CV, contact information for 3 references, and a statement of research interests to Michelle Hampson ([log in to unmask]).
The ideal start date is September 1, 2014, but there is some flexibility.
Salary will be based on the standard NIH payscale.