[visionlist] Postdoc position in Deep Retinal Image Analysis at Shiley Eye Institute

Ehsan SHV ehshva at gmail.com
Tue Feb 6 16:10:18 -05 2018

 *Postdoc position in Deep Retinal Image Analysis at Shiley Eye Institute ,
University of California , San Diego*

We are looking for an Independent researcher to develop deep structural
analysis of 2D/3D retinal images including 2D fundus images, 3D spectral
domain optical coherence tomography (SD-OCT), OCT Angiography and other
imaging modalities.

Candidates required to work closely with a multidisciplinary team of UCSD
computer scientists, clinical researchers and ophthalmologist from Shiley
Eye Institute and other data centers to use state of the art deep learning
techniques along with computer vision and pattern recognition methods to
develop new methods for retinal pathologies detection.  The candidates
should be familiar with machine learning concepts and use detected
pathologies as a feature to diagnose different retinal diseases including
diabetic retinopathy, age-related macular degeneration and glaucoma. Highly
motivated candidates will also receive training and guidance in writing
research grants.

Initial appointments will be made for 2 years with a possibility of

==== Key Requirements ====

The successful candidate should have a PhD degree or equivalent in Computer
Science , Electrical engineering, Biomedical imagining  or related
discipline and be able to demonstrate good mathematical, algorithmic and
strong programming skills in  MATLAB, Python and C/C++.  Knowledge and
experience in one of the deep learning platforms such as Caffe, Theano,
Tensorflow or Torch is desirable.

Excellent writing skills, and history of productivity including publication
in top conferences or journals such as CVPR, ICCV, ECCV, MICCAI, TIP and
PAMI is a big plus. Applications from individuals with disabilities or
other underrepresented groups are particularly encouraged. Applications
will be accepted until filled.

==== How to apply ====================

Qualified applicants should respond by email as soon as possible to Dr.
Goldbaum (mgoldbaum at ucsd.edu) with a CV and top 3 publications.
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