Postdoctoral Research Associate
Department of Radiology
Duke University School of Medicine
Image analysis, computer vision, machine learning
Posted: Sep 1, 2017
We offer an exciting opportunity to apply cutting edge techniques in computer science and engineering toward breast cancer research. We seek a Postdoctoral Research Associate to join the Carl E. Ravin Advanced Imaging Laboratories (RAI Labs) of the Department of Radiology, Duke University School of Medicine. Our goal is to predict breast cancer aggressiveness using rich sources of breast image and genomics data. Known as radiogenomics, this exciting new area of research is funded by multiple grants from NIH, DOD, and other agencies. Your work would combine computer vision analysis of medical images together with machine learning including deep learning. You would be supervised by Joseph Lo Ph.D., who is Director of RAI Labs as well as Professor and Associate Vice Chair for Research of Radiology. We are part of an international team led by Shelley Hwang M.D., Professor and Vice Chair for Research of Surgery.
We seek a highly motivated individual with a Ph.D. in computer science, electrical engineering, biomedical engineering, or a related discipline. You should have expertise in image processing/computer vision (e.g., segmentation, object detection, feature extraction), machine learning (both traditional and deep learning), and should be proficient in multiple langages such as MATLAB and Python. You must also have good verbal and written communication skills, as demonstrated by first-authored conference presentations and peer-reviewed publications. It is desirable for you to have specific experience with medical image analysis, but not necessarily in breast imaging.
The radiogenomics research team is comprised of scientists and physicians spanning multiple departments at Duke and beyond including radiology, surgery, engineering, pathology, computational biology, and cancer biology. You would find ample opportunity for scientific collaboration and interdisciplinary training.
Duke University School of Medicine is a world-renowned institution for biomedical research and patient care. Its Department of Radiology is consistently ranked among the best in the country. Your work would take part within the Carl E. Ravin Advanced Imaging Laboratories (RAI Labs), which is one of the premiere medical imaging research groups in the world. Our 6 core faculty members lead a group of approximately 50 faculty, staff, and students (see collage below). We draw upon the outstanding personnel and resources from Duke Medicine, Pratt School of Engineering, Medical Physics Graduate Program, and Clinical Imaging Physics Group.
Faculty, staff, and students of the Carl E. Ravin Advanced Imaging Laboratories (RAI Labs)
Career Development Benefits:
Duke University is committed to mentoring and supporting young investigators. It offers multiple professional development seminars on topics including preparation of grant applications, academic promotion, presentation skills, scientific writing, alternative career paths and other topics that will prepare the Postdoctoral Research Associate for future careers in academia, government, or industry. Furthermore, all members of RAI Labs benefit from mentorship from our many faculty members and can participate in a diverse array of research, professional development, and social activities.
How to Apply:
Candidates should with all of the following application materials: brief cover message describing your research interests, your soonest start date, CV, and contact information for three references.