10 Jan
2014
10 Jan
'14
4:01 p.m.
Several postdoctoral positions are available in IDEA lab
(https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.
Segmentation: 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 deformable surface, level sets, and
graph cut is highly desirable. People with machine learning background
on image features and shape statistics 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 segmentation methods for infant brain
segmentation and surface reconstruction.
Registration: The successful candidate should have a strong background
on Electrical or Biomedical Engineering, or Computer Science, preferably
with emphasis on feature learning and correspondence detection.
Experience on medical image registration is highly desirable. People
with experience on pairwise, group-wise and/or 4D registration are
particularly encouraged to apply. Knowledge on brain development and
also strong background on programming (good command of LINUX, C and C++,
scripting, and Matlab) are desirable. The research topic will be the
development and validation of 3D, 4D, and group-wise image registration
methods for early brain development study.
Atlas Construction: Candidates with experience on patch-based sparse
representation are encouraged to apply. The research topic will be the
development of atlas construction methods for infant brain images.
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(a)med.unc.edu <mailto:dgshen@med.unc.edu>).