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

ehsan2017 – Posted on January 11, 2018 at 4:17 pm –


 

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 extension.


==== 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@ucsd.edu) and Dr.shahrian (ehshva@gmail.com )with a CV and top 3 publications. 


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