There is a fully-funded PhD position in Statistics, Stochastics, Spatial Data Analysis and related fields at La Trobe University, Melbourne, Australia. The scholarship is for three(possibly three and a half) years, starting when a suitable candidate is found. The PhD is linked to an ARC Discovery Grant.
Description: The project "Theory and statistical analysis of non-Gaussian stochastic models and approximation schemes" is interdisciplinary. It aims to address important problems in the theory and statistics of stochastic processes and develop a new methodology for their applications. This project expects to generate new knowledge about processes on multidimensional spaces and surfaces that are used in spatio-temporal data modelling. Main anticipated outcomes include:
-developing approximation schemes for new complex data and investigating their accuracy and reliability;
-studying properties of nonlinear statistics and transformations of these data;
-providing new tools to investigate complex real data, in particular, in cosmology and embryology.
The results should provide significant benefits for optimal modelling and analysis of high-resolution big data.
A/Prof A.Olenko, Prof P.Broadbridge, and Prof A.Ayache (external)
Applicants should have a background in probability, statistics or closely related fields.
The rules and instructions for applicants are given at the link:
If you are interested to apply or for more information, please contact A/Prof Andriy Olenko (A.Olenko@latrobe.edu.au)