JOB: Postdoctoral fellowship in Statistics, National University of Singapore

Research Fellow

Project: Approximate Computational Methods for High-Dimensional Systems
We invite applications for a postdoctoral research position to work on Approximate Computational Methods for High Dimensional Systems, at the Department of Statistics and Applied Probability at the National University of Singapore. The position will be supervised by A/P David Nott and A/P Ajay Jasra.
This is a 36 month fixed-term position and is available from the 1st January 2014. The position will investigate the use of variational Bayesian techniques for complex hierarchical models and Gaussian process regression.
There will also be scope to interact with other researchers within the group working on particle filtering methodology.
Candidates should possess a completed, or soon-to-be completed, doctorate in a relevant quantitative scientific discipline, for example mathematics, computer science or statistics. Prior experience with developing computational algorithms is an advantage.
To obtain more information and to apply for the position, either contact A/P Nott (standj@nus.edu.sg) or A/P Jasra (staja@nus.edu.sg). There is no closing date for applications – the search will continue until the position is filled.