Postdoc Position on Dental CBCT Segmentation

IDEA, BRIC, UNC at Chapel Hill
Location: 
UNC at Chapel Hill, NC
Job Type: 
Full Time
Closing Date: 
Monday, October 30, 2017

Postdoctoral Position on Dental CBCT Segmentation and Modeling

Postdoctoral research associate positions are available in IDEA lab (http://bric.unc.edu/ideagroup), UNC-Chapel Hill, NC.

The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with knowledge on learning-based image segmentation. Experience on dental CBCT segmentation/landmark detection or reference model estimation is highly desirable. People with machine learning background on image analysis are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C and C++, scripting, and Matlab) and on deep learning tools (Caffe, TensorFlow and Keras) is highly desirable. The research topic will be the development and validation of segmentation/landmark detection methods, reference model estimation, and precise surgical planning for CMF patients.

The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (dgshen@med.unc.edu).