|Title: Postdoctoral Fellowship in Retinal Image Analysis /Computational Ophthalmology ||Posted: April 28, 2016|
|Company/Institution: University of California|
|Location: San Diego|
Independent researcher to develop new analysis strategies for evaluating retinal images from spectral domain optical coherence tomography (OCT), OCT Angiography and other imaging modalities. The ideal candidate will have demonstrated research expertise and strong interests in at least one of the following areas for 2-D/3-D medical image analysis: 1) statistical / mathematical / numerical analysis, 2) image processing / computer vision techniques, 3) deep learning for feature detection and/or automated diagnosis 4) high performance computing techniques for image analysis, 5) telemedicine,or related area. The position involves working with a multidisciplinary team of UCSD computer scientists, vision scientists, clinical researchers and basic scientists.
Candidates will have access to several computational / cluster resources including resources available through the San Diego Super Computer Center, an in-house state-of-the-art 3-D NexCAVE visualization research facility, and visualization infrastructure though the California Institute for Telecommunications and Information Technology (Calit2). Highly motivated candidates will also receive training and guidance in writing research grants.
Retinal image analysis /computational ophthalmology requirements: PhD or an equivalent degree in electrical engineering, computer science, image and signal processing, biomedical engineering, mathematics, statistics or related discipline. Strong computer programming skills (MATLAB, Python, C/C++/Java, MPI/cluster computing, R) preferred. Excellent writing skills, and history of productivity desirable. Applications from individuals with disabilities or other underrepresented groups are particularly encouraged. Applications will be accepted until filled.
Application Instructions: The fellowship is funded by a NEI Training Grant that requires that fellows be US citizens or permanent residents. The fellowships require a doctoral degree and are normally awarded for two years.
Send C.V., a statement of research interest and references to: Linda M. Zangwill, Ph.D. @ email@example.com