|Title: Postdoctoral Fellow||Posted: July 1, 2015|
|Company/Institution: National Institutes of Health|
|Location: Bethesda, Maryland|
|Department: Radiology and Imaging Sciences|
Description: The Center for Infectious Disease Imaging (CIDI) at the Department of Radiology and Imaging Sciences in the National Institutes of Health (NIH) is looking for post-docs who specialize in medical physics and image analysis.
CIDI is a cooperative initiative between the Department of Radiology and Imaging Sciences at NIH Clinical Center and the National Institute of Allergy and Infectious Diseases (NIAID) with a mission to perform basic science, translational, and clinical research on the imaging features of infectious disease from multiple modalities, including CT, MRI, PET and hybrid imaging techniques. Our lab focuses on developing computerized methods for multimodality image analysis with applications for infectious diseases. We collaborate with scientist, clinicians, and radiologists from both NIH and top universities.
Application Instructions: We are seeking highly motivated individuals with an excellent academic record, research experience, and publication.
Ph.D. in Computer Science/Engineering, Biomedical Engineering or related field.
· Candidates are expected to have done research focused on some of the following fields: medical physics, medical image analysis, and machine learning.
· Proficiency in C/C++ and Matlab.
· Experiences in machine learning, sparse method, applied optimization, shape modelling, and medical image registration are highly desirable.
· Experience with open-source image analysis software and libraries (ITK/VTK), and statistical programming such as R.
· Experience in medical imaging modalities (CT, MRI, PET, Histopathology)
· Ability to work independently and in a team environment.
· Excellent communication skills.
For more details, please contact Dr. Ziyue Xu (firstname.lastname@example.org). To apply, please send your CV, cover letter, and the contact information of three references to Dr. Xu and Dr. Daniel J. Mollura (email@example.com)