Post-Doctoral Fellow in Environmental Statistics

A post-doctoral fellow position (initially 12 months with possible extension for a further 2 years) is available for a water quality research project conducted jointly in the School of Safety Science and the School of Mathematics and Statistics at the University of New South Wales, Sydney.


Concerned with the statistical analysis of water quality monitoring data in the Shoalhaven Supply System and catchments, the successful applicant will be involved in reviewing and testing a range of statistical methods to assess and report on short- and long-term water quality trends, time series analysis and modeling relationships between water quality monitoring variables, flow and rainfall.

As a member of a multi-disciplinary research team (including collaborators from Sydney Catchment Authority) the post-doctoral fellow will contribute significantly to improve the understanding and reporting of water quality variations.


The position requires a PhD in statistics or in a quantitative application involving the analysis and modeling of time series, with a strong record of high-quality research publications.


The successful candidate will possess good communication and organisational skills and will demonstrate the ability to work collaboratively in the multi-disciplinary team.


Previous experience in applying statistical skills to the analysis of natural resource management data-sets is desirable.


For further information, please contact Dr Daniela Leonte, School of Safety Science (+61 2 938-54744, D.Leonte@unsw.edu.au) or Dr Spiro Penev, School of Mathematics and Statistics (+61 2 938-57023, S.Penev@unsw.edu.au).