Post-Doctoral Position in Deep Learning for MRI Reconstruction

Postdoc @Yale University posted 7 days ago

Job Description

Position Description:

Join an exciting effort to develop a low-field, low-cost, MRI scanner for screening mammography.  You will participate in the development of MRI reconstruction algorithms for the scanner using machine learning and deep learning.

Qualifications:

The position requires some background in machine learning, optimization, and deep learning. Some familiarity with MR physics, with PyTorch and/or other GPU programming tools is also necessary. You should have completed all requirements for your PhD by the time you are hired.

How to Apply:

Candidates who have most, but not all, of the necessary background are encouraged to apply. Please email a CV and a cover letter to one of the following:

Prof. Hemant Tagare (hemant.tagare@yale.edu)

Prof. Todd Constable (todd.constable@yale.edu)

Prof. Gigi Galiana (gigi.galiana@yale.edu)

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