Postdoctoral fellowship in pediatric MRI, quantitative MRI and machine learning

Wednesday 27th November 2019

Harvard / Boston Children's Hospital

The Computational Radiology Laboratory (CRL) directed by Prof. Simon Warfield at Boston Children’s Hospital and Harvard Medical School has an immediate opening for a highly motivated post-doctoral research fellow to develop motion-compensated image reconstruction algorithms, automated image analysis using deep learning tools and motion-robust quantitative MR imaging techniques to compute imaging markers of disease from MR images of abdomen and brain for projects funded by the National Institutes of Health and other funding mechanisms.

The researcher will develop highly innovative imaging and image processing techniques and software tools including image segmentation, registration approaches, machine learning 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 using several quantitative MRI techniques including DCE-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 directly work with Dr. Sila Kurugol and Dr. Onur Afacan (faculty members at Harvard Medical School), and will attend courses and seminars offered at Boston Children’s Hospital, Harvard Medical School, and Harvard Catalyst.

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 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 python and/or C++
• Demonstrated record of high-quality publications in the field
• Demonstrated analytical, verbal, and scientific writing skills
Highly desired qualifications:
• Experience in quantitative MRI including diffusion weighted MRI, dynamic contrast enhanced MRI
• Experience in biomedical image registration and segmentation using deep learning algorithms
• Experience in motion and distortion correction
• Experience in MR image reconstruction
• Experience in machine learning, computer vision, and pattern recognition

To apply: Please send your CV along with a copy of a technical paper, the desired start date, a paragraph including statement of goals and three references to Dr. Sila Kurugol (sila.kurugol@childrens.harvard.edu) and Dr. Onur Afacan (onur.afacan@childrens.harvard.edu). Computational Radiology Laboratory, Boston, USA.
website: http://crl.med.harvard.edu/

Organization

Harvard / Boston Children's Hospital

Location

Boston

Title

Postdoctoral fellowship in pediatric MRI, quantitative MRI and machine learning

URL

http://crl.med.harvard.edu/