Postdoctoral Research Fellow in MRI and ML

Wednesday 6th October 2021

Organization Boston Children's Hospital, Harvard Medical School

Location Boston, Massachusetts, USA

Title Postdoctoral Research Fellow in MRI and ML

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

Email Address ali.gholipour@childrens.harvard.edu

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