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 (michelle.hampson@yale.edu). The ideal start date is September
1, 2014, but there is some flexibility. Salary will be based on the
standard NIH payscale.