Postdoctoral Autism fMRI Researcher
Posted 30 Aug 2017
University of California San Diego School of Medicine
San Diego, California
Qualified postdoctoral applicants should submit a current CV, a personal statement describing their experience and interests, and contact information for three references to firstname.lastname@example.org. At UC San Diego, postdoctoral salaries range from $48,216/year to $58,560 depending on qualifications and experience, and the university offers medical insurance and benefits. The position is available at this time and funding is available for the next five years but dependent on successful performance of research and publications.
UC San Diego is an Equal Opportunity/Affirmative Action Employer with a strong institutional commitment to excellence through diversity. All qualified applicants will receive consideration for employment without regard to gender, race, color, religion, sex, sexual orientation, national origin, disability, age, or protected veteran status.
The UC San Diego Autism Center of Excellence will hire a Postdoctoral Autism fMRI Researcher for a newly funded, large, five-year NIH autism fMRI grant. The Center is in the Department of Neuroscience at the UC San Diego School of Medicine. The successful applicant will be expected to take a leading role in state-of-the-art functional imaging, powerful analytic techniques, and ASD-relevant language and social emotion activation paradigms and resting state to discover in n=175 ASD and typical 1- to 2-year-olds neural biomarkers of variation in early social and language clinical presentation, trajectories, and outcome at age 3-4 years. The postdoctoral researcher will also be in a key position to also analyze results of these new experiments in combination with existent center neuroimaging dataset of >400 ASD and typical 1- to 4-year-olds, and thereby reveal meaningful, clinically relevant prognostic biomarkers and biotargets for future experimental therapeutic paradigms.
In addition to spearheading the specific new studies, the chosen applicant will also learn about and engage in other aspects of the center’s research on the developmental neurobiology of autism, including studies of molecular, cellular, anatomical and functional abnormalities associated with autism.
A Ph.D., M.D., or equivalent and proven expertise in state-of-the-field fMRI and MRI analyses, advanced biostatistical skills, and interest in taking a leading role in conducting innovative multimodality neuroimaging and functional genomic studies of neurodevelopmental trajectories and clinical correlates in ASD. Neuroimaging skills should include experience with SPM, AFNI, and/or FSL; and FreeSurfer, BrainVisa, Human Connectome, and/or similar analysis pipelines. Thus, applicants should have experience in fMRI mapping and time-series analyses, automated cortical- and subcortical segmentation and advanced diffusion tractography.
Preferred computational skills include coding experience with MATLAB, Python, and/or R.
Applicants are expected to have skill with longitudinal data analysis, machine learning, network neuroscience, and/or other advanced neuroimaging or other multivariate biostatistical techniques (ICA, DCM, PLS, etc.). Experience performing and collecting auditory or visual neuroimaging paradigms and analyses is preferred.
Experience with collecting neuroimaging data from infants and/or children is also preferred, although strong experience collecting such data from adults may be acceptable. Candidates must have a track record of productivity, leadership and success in working in a team environment. Candidates must have significant knowledge of the clinical and developmental attributes of autism, demonstrated interest and experience with autism, and good knowledge of cutting-edge autism neuroimaging research.