NIASRA offers postgraduate and professional education courses and programs that build on our world-class staff, extensive experience and industry collaborations.
Opportunities for research students
NIASRA has a number of research students and welcomes enquiries from prospective research students who wish to undertake a research degree in any of the following areas:
- Analysis of aggregated data
- Analysis of data collected via complex sample surveys
- Analysis of data from complex populations, including longitudinal, spatial and networked populations
- Analysis of linked data
- Data quality and survey methods
- Environmental informatics
- Hierarchical statistical modelling, including Bayesian statistics
- Methods for handling missing data
- Small area estimation
- Spatial and spatio-temporal statistics
- Statistical confidentiality
- Statistical design, including survey and experimental design
- Statistical education
- Statistical modelling, including robust, semi-parametric and non-parametric methods, time series, quasi-likelihood, quantile and M-quantile modelling, multi-level modelling, and estimating equations
NIASRA has over 20 experienced statisticians with a wide variety of research interests in Applied Statistics. Further details of the research undertaken in the Institute can be found in the web pages for each of the centres within NIASRA and the description of major research projects. Research interests of individual staff members can be found at SMAS researcher profiles.
Many of our research students undertake projects suggested by our research with organisations such as the Australian Bureau of Statistics, the US National Aeronautics and Space Administration (NASA), the Grains Research Development Corporation, NSW Ministry of Health, New Zealand Ministry of Health, and Australian Rain Technologies.
Research students in NIASRA would usually have an Honours 1 or 2(1) degree in Statistics, or an equivalent qualification, such as a Masters in Statistics that has included a research project, a high GPA, an IELTS (or equivalent) of 6.5 or more for international students and evidence of strong research potential.
Students will usually commence in either Autumn Session (late February) or Spring Session (late July) and you should contact us several months before you intend to commence your studies.