Position description: The Computational Radiology Laboratory (CRL) at Boston Children’s Hospital invites applications for post-doctoral research fellowships to develop techniques for the analysis of brain development in projects funded by the National Institutes of Health.

The researchers will develop highly innovative machine learning and image processing techniques and tools in C++ to analyze images, correct for motion and distortion, and reconstruct high-resolution images of the developing brain using in-vivo MRI and diffusion-weighted MRI. In these exciting and high-impact projects, researchers will work closely with neurologists, radiologists, and MR physicists, will receive mentorship from an expert team of principal investigators, and will attend courses and seminars offered at Boston Children’s Hospital, Harvard Medical School, and Harvard Catalyst, in addition to major conferences.

About CRL: The mission of CRL is improving our understanding of the structure and function of the brain and other organs of the human body, in order to improve our capacity to diagnose and treat disease. CRL is located at Boston Children’s Hospital (BCH), which is ranked #1 in US News ranking of pediatric hospitals. Researchers at CRL are affiliated with Harvard Medical School which is ranked #1 in US News ranking of medical schools. Boston is known as a hub for healthcare and medical innovations. Opportunities for cross-training and networking are enormous with several top-rank universities (Harvard, MIT, Northeastern, and Boston University), top-rank hospitals and medical research centers, and biotechnology and pharmaceutical companies in the neighborhood.

Minimum requirements:

• PhD in computer science, electrical or biomedical engineering, medical physics, or a related field with a research focus on machine learning, computer vision, biomedical image processing/medical image computing, and/or magnetic resonance imaging

• Demonstrated record of high-performance scientific programming with C++

• Demonstrated record of high-quality publications in the field

• Demonstrated analytical, verbal, and scientific writing skills

Highly desired qualifications:

• Experience in neuroimaging, diffusion weighted imaging, and functional MRI

• Experience in motion and distortion correction in MRI

• Experience in machine learning, computer vision, and pattern recognition

• Experience in biomedical image registration, restoration, and segmentation

• Experience in parallel computing and GPU CUDA programming

To apply: Please send your CV along with a copy of a technical paper, the desired start date, and a brief statement of goals to Dr. Ali Gholipour at: ali.gholipour@childrens.harvard.edu

Computational Radiology Laboratory, Boston, Massachusetts, USA; http://crl.med.harvard.edu/