Postdoctoral fellowship in machine learning methods for MR image analysis
Thursday 17th June 2021
Organization Harvard Medical School
Email Address email@example.com
The Computational Radiology Laboratory (CRL) directed by Prof. Simon Warfield at Boston Children’s Hospital and Harvard Medical School has an opening for a highly motivated post-doctoral research fellow to develop automated image analysis using machine learning tools to compute imaging markers of disease from MR images 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 including active learning, semi-supervised learning and crowd-sourcing techniques to generate marker of disease. The researchers will have access to radiologists, MR physicists, will have mentorship from an expert team of principal investigators, and will directly work with Assistant Profs. Sila Kurugol and Dr. Onur Afacan and Prof. Simon Warfield 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, and a beautiful city full of top-rank universities. 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 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 machine learning/ deep learning in MRI
• Experience in MR image reconstruction and/or image analysis
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 (firstname.lastname@example.org) and Dr. Onur Afacan (email@example.com). Computational Radiology Laboratory, Boston, USA. http://crl.med.harvard.edu/