Postdoctoral Fellowships in Machine Learning

National University of Singapore
Location: 
Singapore
Job Type: 
Full Time
Closing Date: 
Monday, April 30, 2018

Laboratory for Medical Image Data Sciences at National University of Singapore focuses on the development of medical image analysis methods, including image segmentation, registration approaches, multivariate statistical analysis, machine learning, and classification algorithms. Our group is particularly working on multi-modal magnetic resonance imaging of the brain and derives mathematical/statistical models for characterizing variations of the brain anatomy and function and their associations with clinical phenotypes and/or genetics.

The laboratory has great computing capacity, including multiple M40 GPU systems for deep learning, large storage and backup systems, and computing clusters for large data set processing.

We are seeking for research fellows who are interested in developing and employing data mining approaches for understanding high dimensional brain image and/or genetic data. The candidate with experience on high dimensional data or 3D image analysis will be seriously considered.

Computation functional anatomy laboratory at National University of Singapore focuses on the development of medical image analysis methods, including image segmentation, registration approaches, multivariate statistical analysis, machine learning, and classification algorithms. Our group is particularly working on multi-modal magnetic resonance imaging of the brain and derives mathematical/statistical models for characterizing variations of the brain anatomy and function and their associations with clinical phenotypes and/or genetics.

The laboratory has great computing capacity, including multiple M40 GPU systems for deep learning, large storage and backup systems, and computing clusters for large data set processing.

We are seeking for research fellows who are interested in developing and employing data mining approaches for understanding high dimensional brain image and/or genetic data. The candidate with experience on high dimensional data or 3D image analysis will be seriously considered.