School of Mathematics & Statistics


School of Economics

Ref 58115

  • One of Australia’s leading research & teaching universities
  • Vibrant campus life with a strong sense of community & inclusion
  • Enjoy a career that makes a difference by collaborating & learning from the best

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.


About the role

  • 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 for further info.

About you

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.

To be successful in these roles, you should have

  • PhD in Statistics or equivalent subject, with strong computational or methodological component
  • Strong computer programming skills in e.g. R, Python, Matlab, C++, etc
  • Excellent oral and written communication skills
  • Proven, or demonstrated excellent potential for, an outstanding publication record
  • Demonstrated high level analytical and problem solving skills
  • Demonstrated capacity to deliver high quality project outcomes in a timely manner
  • Demonstrated ability to work as part of a team and work with minimal supervision.

You may be required to undergo pre-employment checks prior to appointment to these roles.  You should systematically address the selection criteria listed within the position description in your application. Please apply online - applications will not be accepted if sent directly to the contacts listed.


Professor Scott Sisson, Email:

Scientia Professor Rober Kohn, Email:


Applications close: 5 May 2017


For full details of this position and application procedure, go to  and then click “search for jobs”.