Post-Doctoral Position in Deep Learning for MRI Reconstruction at Yale University
Title: Postdoctoral Associate, Yale School of Medicine
Department/Division: Radiology and Biomedical Imaging, Bioimaging Sciences
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)