Postdoctoral Position on Infant Brain Segmentation, Registration and Atlas Construction, IDEA Lab USA

Several postdoctoral positions are available in IDEA lab (http://bric.unc.edu/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@med.unc.edu).

PhD Positions in UNC-Chapel Hill, IDEA lab of UNC-Chapel Hill

One PhD position is available, for each of the following research directions, in the IDEA lab of UNC-Chapel Hill, NC (http://bric.unc.edu/ideagroup).

Brain Image Segmentation and Surface Labeling: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image processing and pattern recognition. Experience on medical image segmentation and analysis is highly desirable. People with machine learning background are particularly encouraged to apply. Knowledge on neuroscience and programming background (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of methods for atlas-based tissue segmentation (of neonatal brain images) and cortical surface labeling of brain images.

Deformable Segmentation: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image feature extraction, shape representation, and shape statistics. 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) are desirable. The research topic will be the development and validation of statistical deformable segmentation methods for lung, liver, prostate, and brain.

Neuroimage classification: The successful candidate should have a strong background on Electronic Engineering, Biomedical Engineering, Statistics, or Computer Science, preferably with emphasis on machine learning, pattern classification, multivariate image analysis, or computer vision. Experience on neuroimage analysis is highly desirable. People with machine learning background are particularly encouraged to apply.

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).

Postdoctoral Position on Medical Image Indexing, IDEA Lab, USA

One postdoctoral position is available in IDEA lab (http://bric.unc.edu/ideagroup), UNC-Chapel Hill, NC.

Image Indexing: The successful candidate should have a strong background on Biomedical Engineering, Electronic Engineering, Computer Science, or relatedly majors, preferably with emphasis on image processing and analysis. Experience on image indexing and retrieval is highly desirable. People with machine learning background on image features and image similarity measurement are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C/C++, Python, Matlab, etc.) is desirable. The research topic will be the development and validation of image indexing methods for medical applications.


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).

Postdoctoral Position on Imaging Genomics, IDEA lab

One postdoctoral position is available in IDEA lab (https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.

Imaging Genomics: The successful candidate should have a strong background on Biomedical Engineering, Electronic Engineering, Computer Science, or relatedly majors, preferably with emphasis on neuroimaging analysis and genomics. Experience on brain disease diagnosis is highly desirable. People with machine learning background on feature representation and regression are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C/C++, Python, Matlab, etc.) is desirable. The research topic will be the development and validation of innovative methods for imaging genomics.

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). 

Deadline : 31-Dec-2016