Faculty – Assistant or Associate Professor

PURPOSE OF POSITION: Develop and implement novel statistical methods for use in advanced neuroimaging and brain mapping involvingMRI, fMRI, DTI, MEG, EEG and/or TMS methods using resources available at Cincinnati Children's Hospital Medical Center (CCHMC). Provide high-level statistical image analysis expertise and support for collaborative imaging research projects that utilize these methods for studies of developmental and neurological disorders of childhood.
1. Develop novel statistical methods for the analysis of neuroimaging data including fMRI, MRI, DTI and MEG.
2. Propose and facilitate the use of advanced statistical methods (connectivity, multivariate pattern analysis) for neuroimaging analysis to study brain structure and function such as fMRI, DTI and MEG connectivity analysis. This may include multimodal approaches combining MRI and electrophysiological methods such as MEG, EEG, or TMS.
3. Collaborate with the Department of Radiology, the Division of Pediatric Neurology and with the PNRC faculty in the development of new research projects involving statistical image analysis methods and connectivity analysis of non-invasive brain imaging data in children with developmental and neurocognitive disorders.
4. Analyze brain image data using existing commercial and publicly available image analysis programs, and develop novel analytical approaches as required.
5. Develop and maintain documentation of methods and code developed, and instructions for the use of methods for statistical neuroimaging data analysis. Develop training modules for faculty and staff, and hold training workshops as necessary.
6. Work with Pediatric Neurology and PNRC faculty to submit successful grant proposals and scientific publications as a principal investigator and co-investigator.
REQUIRED SKILLS:Excellent command of neuroimaging analysis techniques for MRI, MEG, and EEG including fMRI and DTI. A firm grasp of the statistical analysis methods for electrophysiological techniques such as EEG, MEG or TMS. Ability to design and implement complex functional neuroimaging experiments involving children. Experience with computational and statistical methods for neuroimaging. Previous experience in functional brain imaging, statistical signal processing, psychophysics or cognitive/systems neuroscience.
Advanced analysis of neuroimaging data. Excellent writing skills for grant proposals and scientific papers. Familiarity with neuroimaging acquisition methods and systems such as MRI, MEG and EEG.
EDUCATION/WORK EXPERIENCE:A Ph.D. in Statistics, Biostatistics, Neuroscience, Mathematics, Physics, Computer Science, Engineering, or related field is preferred with experience in MRI including fMRI, MEG and DTI. Previous experience in neuroimaging analysis methods complementary to multimodal brain modeling based on MRI, MEG, EEG, or TMS is an asset. Also desired is experience in human research studies involving children and their families.