PostDoc Position in OCT Image Analysis at USC

University of Southern California
Location: 
Los Angeles, CA, USA
Job Type: 
Full Time
Closing Date: 
Saturday, September 30, 2017

A post-doctoral fellow position in Optical Coherence Tomography (OCT) image analysis is available at the Laboratory of Neuro Imaging (LONI) and the USC Roski Eye Institute at Keck School of Medicine of USC. In this position, the post-doc fellow will have the opportunity to develop innovative image computing techniques to analyze OCT structural and angiography imaging data from NIH-funded studies. Through the Laboratory of Neuro Imaging at the Stevens Neuroimaging and Informatics Institute at USC, the post-doctoral fellow will have access to the ideal environment for medical imaging research. The datacenter of LONI boasts 3,328 cores and 26 terabytes of aggregate memory space for Big Data brain image analysis. The new institute houses a state-of-the-the- art image acquisition center with both 3T (high performance gradient Prisma) and 7T MR (Siemens) scanners for human brain imaging. More information can be found at http://www.ini.usc.edu and http://www.loni.usc.edu. The USC Roski Eye Institute is a premiere institute of Ophthalmology and home to the largest NIH/NEI funded epidemiologic studies of eye disease in the United States including the Los Angeles Latino Eye Study and African American Eye Disease Study. The ophthalmic imaging division has all of the state-of-the-art imaging devices including commercially available spectral domain optical coherence tomography devices from multiple vendors, wide-field imaging cameras, ultrasound, microperimetry and conventional visual fields, multifocal and full-field ERG as well prototype swept-source OCT and hyperspectral imaging devices.  More information can be found at http://eye.keckmedicine.org/.

The ideal candidate should have a PhD in engineering, computer science, or applied mathematics, and strong background in medical image analysis. Solid programming skills in C++ and Matlab are desirable. Interested candidates should send their CVs to Dr. Yonggang Shi (yshi@loni.usc.edu) and Dr. Amir Kashani (ahkashan@med.usc.edu).