Postdoctoral Scholar – Computer Vision for Prostate MRI (University of Chicago)
Wednesday 24th February 2021
Postdoctoral Scholar – Computer Vision for Prostate MRI
Dr. Aytekin Oto Professor and Chair of Radiology, and Director of the Grossman Center for Prostate Cancer Imaging, Dr. Michael Maire (Assistant Professor in Computer Science) and Dr. Aritrick Chatterjee (Research Assistant Professor of Radiology) have an opening for a postdoctoral scholar who will focus on developing computer vision tools for improving prostate cancer diagnosis using Magnetic Resonance Imaging (MRI). The research focuses on development of new image analysis methods using deep neural networks, curating datasets, and training and validating analysis systems. Join us in our commitment to improve the quality of care for patients with an aim to take novel research technology from the bench side to the beside. You will work with a multidisciplinary team of talented radiologists, surgeons, pathologists, oncologists, medical physicists, computer scientists, data scientists, statisticians, engineers, and researchers to leverage unique healthcare data.
High performance computing through UChicago’s Research computing center is available to the investigators. MRI instrumentation available to the investigators consists of 2 Philips 3T (Achieva and Ingenia) whole-body MRI systems, and a Bruker 9.4T, 30 cm bore system with multi-nuclear capability. In addition, 5 clinical scanners including a multi-transmit 3T scanner are available for research on a part-time basis.
Applicants must have a strong understanding of machine learning, with particular expertise in deep neural networks and computer vision. Programming skills in MATLAB, Java, C, Python, and familiarity with PyTorch and/or TensorFlow are desired. Strong analytical and problem-solving skills are needed. This position requires a Ph.D. in Computer Science, Physics, Medical Physics, Electrical Engineering, or Bioengineering. Experience with computer vision or medical imaging is required. Experience with MR images is desirable but not required.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status or status as an individual with disability. The University of Chicago is an Affirmative Action / Equal Opportunity / Disabled / Veterans Employer.
If you have questions, or want to apply, please send a curriculum vita to either Dr. Michael Maire (email@example.com) or Dr. Aritrick Chatterjee (firstname.lastname@example.org).
|Organization||University of Chicago|
|Title||Postdoctoral Scholar – Computer Vision for Prostate MRI|