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:
Best wishes,
Alexandre THIERY

national university of Singapore
alexandre THIERY
Michael Girard
Date de début souhaitée
Langues obligatoires

Excellent deep-learning / machine-learning / signal processing, programming (Python), and computational science skills are required. Excellent communication and English-writing skills are also required. No background in ophthalmology is required, however, the candidate will be expected to become knowledgeable in the field of glaucoma in order to interact with clinicians.