Print

---

Research Fellow (x2)
Project: Approximate Computational Methods for High-Dimensional Systems

 

We invite applications for two postdoctoral research positions to work on Approximate Computational Methods for High Dimensional Systems, at the Department of Statistics and Applied Probability, National University of Singapore. The positions 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 two positions will work on two separate but related areas associated with Bayesian inference. The first will focus upon Monte Carlo methods, particularly the particle filter, for methodological and theoretical contributions in high-dimensional filtering. The second will investigate variational Bayesian techniques for complex hierarchical models and Gaussian process regression.

 

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 ([log in to unmask]) or A/P Jasra ([log in to unmask]).