Postdoctoral Fellowship in MR image processing
Postdoctoral Fellowship in Magnetic Resonance Imaging, Image Processing and Machine Learning
Position description: The Computational Radiology Laboratory (CRL) at Boston Children’s Hospital and Harvard Medical School has an immediate opening for a post-doctoral research fellow to develop automated image analysis and motion-robust quantitative MR imaging techniques to compute imaging markers of disease in abdominal MRI for projects funded by the National Institutes of Health.
The researcher will develop highly innovative imaging and image processing techniques and software tools including image segmentation, registration approaches, machine learning, and classification algorithms to analyze images, correct for motion and distortion, and reconstruct high-resolution images and estimate quantitative model parameters to generate marker of disease in abdominal structures using in-vivo MRI and diffusion-weighted MRI. The researchers will have access to radiologists, MR physicists, will have 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. The researcher will work closely with Dr. Sila Kurugol and will be supervised by Prof. Simon Warfield.
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.
- PhD in electrical or biomedical engineering, computer science, medical physics, or a related field with a research focus on biomedical image processing/medical image computing, machine learning, computer vision, and/or magnetic resonance imaging
- Demonstrated record of high-performance scientific programming with C++ /python
- Demonstrated record of high-quality publications in the field
- Demonstrated analytical, verbal, and scientific writing skills
Highly desired qualifications:
- Experience in abdominal imaging, diffusion weighted MRI, dynamic contrast enhanced MRI
- Experience in biomedical image registration and segmentation
- Experience in motion and distortion correction
- Experience in MR image reconstruction
- Experience in machine learning, computer vision, and pattern recognition
- Experience in high performance computing, parallel computing and GPU CUDA programming
- Demonstrated record of high-performance scientific programming with C++
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. Sila Kurugol ( email@example.com ) and Dr. Simon Warfield ( firstname.lastname@example.org).
Computational Radiology Laboratory, Boston, Massachusetts, USA; http://crl.med.harvard.edu/