The PhD candidate will develop novel statistical methodologies and bioinformatics tools to analyse high-throughput biological “omics” data sets. Such approaches are critical to fully unravel the complexities of molecular biology and are in high-demand by researchers.

Data integration is a challenging task due to the high dimensionality of the data as well as their heterogeneous nature. Variable selection, i.e. co-jointly selecting the relevant and informative genes, metabolites, proteins, etc., is therefore essential to obtaining biologically meaningful information from the data. While current efforts have been made towards developing methodologies to integrate two omics data sets and understand the relationship between two types of biological entities at a given time point, no attempt has been made so far to integrate data from more than two omics platforms and take the time dependency into account. Such a challenge forms the basis of the proposed PhD research.
The PhD scholarship is awarded for up to 3 years and consists of an annual stipend of $23,728 tax free. An allowance of up to $3,000 per annum will be available to attend and participate in national and international conferences. Applicants should have a BSc(Hons) or MSc degree with a strong background in statistics and computing.  Good written English and communication skills are essential.
For more information about the project, the selection criteria and on how to apply, visit http://www.qfab.org/news-events/news/phd-scholarship-in-applied-statistics-or-bioinformatics
Applications close on 28 May 2012

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