job opening: Post-Doctoral Fellow @ Johns Hopkins U – Autonomous Low-Field MRI

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Posting on behalf of Dr. Sairam Geethanath.

Position Overview:

The Laboratory for Accessible MRI, led by Prof. Sairam Geethanath at Johns Hopkins University, invites applications for a two-year Post-Doctoral Fellowship. The fellow will work on cutting-edge research focused on advancing low-field deep learning methods and implementing autonomous low-field MRI systems to ensure consistent scanner operation and maintain high-quality image acquisition. This project will demonstrate the steps required on the 0.05T scanner (available in the laboratory) to track structural brain changes at par with 3T performance. These innovations are expected to improve the accessibility and affordability of MRI technology globally.

Key Responsibilities:

  • Tracking brain changes in youth at 0.05T:
    • Advance existing, in-house super-resolution reconstruction methods at 0.05T.
    • Advance existing in-house denoising methods at 0.05T.
    • Refine segmentation of brain tissue matters at 0.05T using FreeSurfer.
  • Scan youths (10 – 17 years) at 0.05T and 3T to demonstrate advances
  • Develop and implement autonomous operational strategies for low-field MRI scanners
    • Introduce interventions during scanning to guarantee SNR and magnetic field homogeneity limits
    • Mitigate certain artifacts such as motion, electromagnetic interferences, Gibbs ringing, and wrap-around.
  • Test and validate developed methods on the available MRI scanners, including:
    • Two custom-built low-field MRI systems (0.26T and 0.35T).
    • A commercial prototype 50mT Halbach scanner.
    • Collaborate with a multidisciplinary team of researchers and engineers.

Key Qualifications:

  • Ph.D. in Medical Physics, Biomedical Engineering, Electrical Engineering, Computer Science, or a related field.
  • Strong background in MR physics, including pulse sequence design, image reconstruction, and signal processing.
  • Proficiency in deep learning techniques, with experience in applying machine learning to medical imaging.
  • Experience working with low-field MRI or MRI system development is highly desirable.
  • Strong programming skills in Python, MATLAB, or similar.
  • Ability to work independently as well as in a collaborative research environment.

Location
Baltimore, MD

Open Date
Oct 29, 2024

Salary Range or Pay Grade
$62,132 a year

Please see full details here.

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