Postdoctoral, visiting student/scholar, and PhD student positions
— Fetal/infant brain MRI processing for early diagnosis of autism
Postdoctoral research associate, visiting student/scholar, and PhD student positions are available in the Department of Radiology at the University of North Carolina at Chapel Hill (UNC-Chapel Hill), for the development of fetal/infant brain MRI processing algorithms, including tissue segmentation, parcellation, and early diagnosis of autism.
- The successful candidate should have a background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on medical image analysis.
- Experience on medical image segmentation using deep learning is highly desirable.
- Participants with good performance in our organized infant segmentation challenges iSeg-2017 and iSeg-2019 are particularly encouraged to apply.
Postdoctoral and visiting student/scholar positions — Early Brain Biomarker
Postdoctoral research associate, visiting student/scholar, and PhD student positions are available in the Department of Radiology and Biomedical Research Imaging Center (BRIC) at the University of North Carolina at Chapel Hill (UNC-Chapel Hill). Our current focuses are to identify early brain biomarkers on abnormal brain development.
The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image feature learning and segmentation. Experience on medical image segmentation using deep learning and shape statistics is highly desirable. People with machine learning background on medical imaging analysis are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C and C++, scripting, and Matlab) is desirable. The research topic will be the development and validation of tissue segmentation and ROI labeling methods for infant brain images with risk of abnormal brain development, such as typical control subjects from our recently awarded Baby Connectome Project (BCP) as well as with-risk subjects from publicly dataset.
Software Engineer for Infant Brain Image Processing
A software engineer position is available in Biomedical Research Imaging Center (BRIC) at UNC-Chapel Hill (http://www.med.unc.edu/bric/), for further development of infant brain MR image processing pipeline (iBEAT, http://www.nitrc.org/projects/ibeat). The successful applicant will be trained to work broadly in medical image processing, and to help integrate new infant brain MRI processing algorithms developed in the research lab.
This position needs to work with a multidisciplinary team on infant brain MR image processing. The successful applicant must have a master degree (or above) in computer science or related engineering fields. He/She must be strong in programming and GUI design for cross-platform including Windows, Linux, and Mac OS X, and familiar with C/C++, Matlab, and ITK/VTK. Experience with Linux is highly desired. Knowledge on neuroimaging analysis, computer vision, pattern recognition, computer graphics, and image processing is very helpful. Knowledge of well-known software, such as FreeSurfer, FSL, SPM, and Connectome Workbench, is also very helpful.
If interested, please email resume to Dr. Li Wang: firstname.lastname@example.org.