Open Positions | Pediatric Neuroimaging Research Consortium

Open Positions

Junior Faculty - Image Analysis: The Pediatric Neuroimaging Research Consortium at Cincinnati Children's Research Foundation is recruiting a junior faculty member to specialize in advanced neuroimaging analysis, including connectivity methods and/or multivariate pattern analysis and other machine learning approaches.  Please email for more information.

Post-Doctoral Position: Research focuses on developing novel approaches to early diagnosis of brain injury and abnormal brain development, as well as rigorously testing interventions aimed at the prevention and treatment of neurodevelopmental deficits or disability. We aim to develop objective MRI methods for neonates, and multimodal MRI neuroimaging biomarkers to predict long-term cognitive, behavioral and sensorimotor deficits. 

We are now seeking a creative and highly motivated individual with good writing skills and training in MRI image processing data analysis.  Previous experience on machine learning will be plus. The major duties of this opening are: to develop quantitative method for use in advanced neuroimaging and brain mapping involving structure MRI, functional MRI and DTI; to analyze brain image data using existing commercial and publicly available image analysis programs (such as SPM, FSL, CONN, Freesurfer).

Candidates for either Postdoctoral Research Fellow or Research Associate (commensurate with previous experiences) must hold a PhD with a background in any of the following disciplines: computer science, biomedical engineering, bioinformatics, electrical engineering and neuroscience. Emphasis on programming expertise in Matlab, C/C++ and in UNIX environment. The work promises to be challenging and presents a highly exciting opportunity to utilize resources available at Cincinnati Children's Hospital Medical Center (CCHMC) and collaborations from the Department of Pediatrics, Division of Neonatology and with the Pediatric Neuroimaging Research Consortium (PNRC) faculty.  Contact:  Prof. Lili He, PhD   Address: