Postdoctoral fellow (Harvard Medical School)

Sunday 6th June 2021

Organization: OrganizationBoston Children's Hospital, Harvard Medical School

Location: Boston, Massachusetts, USA

Title: Postdoctoral fellow (Harvard Medical School)

URL: https://imagine.med.harvard.edu/news/positions

Email Address: ali.gholipour@childrens.harvard.edu

Description:
Position description: Postdoctoral research positions are available in deep learning and real-time image processing for motion-robust MRI acquisition and reconstruction (structural and functional MRI, diffusion-weighted MRI, susceptibility-weighted MRI, and MR angiography) in the Intelligent Medical Imaging (IMAGINE) Research Group of the Computational Radiology Laboratory (CRL) at Boston Children’s Hospital. This is an opportunity to join a team of investigators in a vibrant research environment to conduct cutting edge research that is focused on technology development for the analysis of early human brain development. Positions are full time. A two-year commitment is required with possibility of extension.

About: Boston Children’s Hospital (BCH) 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. CRL works closely with clinicians and major industrial partners. 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 University, and Boston University), top-rank hospitals and medical research centers, and technology, biotechnology, and pharmaceutical companies in the neighborhood.

Minimum requirements:
• PhD in electrical or biomedical engineering, computer science, medical physics, applied mathematics, or a related field with a research focus on signal and image processing /medical image computing, machine learning, and/or magnetic resonance imaging
• Demonstrated record of high-performance scientific programming with C++ and python
• Demonstrated record of high-quality publications in the field
• Demonstrated analytical, verbal, and scientific writing skills

Highly desired qualifications:
• Experience in developing innovative methods of
o Magnetic resonance imaging, MR image acquisition and reconstruction
o Deep learning for real-time (medical) image processing

To apply: Interested candidates should send a full CV along with a copy of a technical paper, the desired start date, list and contact information of 3 references, and one paragraph statement of goals to Ali Gholipour, PhD at: ali.gholipour@childrens.harvard.edu