Postdoctoral fellowship in MRI (Harvard University) (Harvard University and Boston Children's Hospital)

Thursday 15th April 2021

Postdoctoral fellowship in MRI for pediatric applications

Position description: The Computational Radiology Laboratory (CRL) directed by Prof. Simon Warfield ( a world wide expert in MRI and image analysis) at Boston Children’s Hospital and Harvard Medical School has multiple openings for highly motivated post-doctoral research fellows 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.

We have multiple openings
1) focused on developing highly innovative motion compensated quantitative MRI techniques and software tools using 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 diffusion-weighted MRI. 
2) focused on developing MR image acquisition, reconstruction, and/or pulse programming techniques to develop new MR imaging approaches for motion compensated MRI of children.

The researchers will have access to radiologists, MR physicists, will have mentorship from an expert team of principal investigators, and will work under the direct supervision of Assistant Professors Sila Kurugol and Onur Afacan (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, 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.

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 machine learning/ deep learning in MRI
• Experience in MR image acquisition 
• Experience in MR image reconstruction
• Experience in MR 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 (sila.kurugol@childrens.harvard.edu) and Dr. Onur Afacan (onur.afacan@childrens.harvard.edu). Computational Radiology Laboratory, Boston, USA. 

 

Organization Harvard University and Boston Children's Hospital
Location Boston
Title Postdoctoral fellowship in MRI (Harvard University)
URL http://crl.med.harvard.edu/
Email Address skurugol@gmail.com