- A$89K – A$95K per year (plus 17% superannuation and leave loading)
- 2 Years fixed-term
- Full time position
There are 2 positions available, one being in the School of Mathematics & Statistics, Faculty of Science and the other in the School of Economics at the UNSW Business School. Both positions will have the opportunity to interact with members of both Schools.
These positions are supported by, and are an integral part of ACEMS – the Australian Centre of Excellence of Mathematical and Statistical Frontiers in Big Data, Data Models and New Insights – a multi-institution research centre for leading research in mathematics, statistics and machine learning. See http://www.acems.org.au for further info.
The appointees will undertake collaborative and self-directed research on methods for the analysis of large and complex datasets, and their application. Methodological development is expected to be wide ranging, but will involve techniques such as symbolic data analysis, methods for computationally intractable likelihood functions (such as pseudo-marginal methods, approximate Bayesian computation and synthetic likelihoods), variational Bayes and non-parametric methods. Applications will include (but are not limited to) large panel datasets, satellite imagery and complex and non-standard ecological and environmental datasets, and evidence accumulation models for decision making in psychology and business.
Applications close 5 May 2017.