[apologies for multiple postings]

The National University of Singapore (NUS), Department of Statistics & Applied 
Probability (DSAP), has an opening for a creative and resourceful PhD candidate 
with strong deep-learning / machine-learning, programming (Python), and 
computational science skills. The selected candidate will develop novel 
methodologies to diagnose glaucoma, predict its evolution, and help understand 
the disease.

This is a joint project between:
- the department of Statistics & Applied Probability (NUS)
- the department of Biomedical Engineering (NUS)
- the Singapore Eye Research  Institute (SERI, ranked top 5 Ophthalmology 
institute worldwide)
- more than 15 glaucoma institutes from 10 countries across 4 continents.

Related areas:
- nonlinear dimension reduction
- structure discovery
- transfer learning
- statistical inference in the low-sample/high-noise regime
- representation learning

More information available at: goo.gl/jLdaev<http://goo.gl/jLdaev>

Best wishes,
Alexandre THIERY

Dr Alexandre THIERY
Assistant Professor
Department of Statistics & Applied Probability
National University of Singapore
Web: http://www.normalesup.org/~athiery
Office: +65-6516-2761


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