PhD scholarship
RMIT University.

School of Science

Posted on: Sun Jul 10 2016

We are looking for an outstanding candidate for a PhD student position to work on an Australian Research Council funded project that deals with Bayesian approach in ecological and environmental modelling at the School of Science, Mathematical and Geospatial Sciences, RMIT University, Melbourne, Australia. The project will continue for 3 years with a possible extension depending on funding availability. The applicant should have a good mathematics/statistics background as well as a strong interest in ecology/biology.

The successful PhD candidate will be based in the City Campus of RMIT University.

Project Summary

Identifying how species are distributed over the landscape, and how they self-organize and persist in time, are central goals in Ecology. This project will provide innovative new modelling tools to improve our understanding of species distributions in space, and species extinctions in time. Broadly speaking, the successful candidate will be modelling historical records of the sightings of rare or endangered species and developing techniques to estimate possible extinction times while taking into account surveillance errors in detection. The PhD work may also involve working on spatial species distribution models that incorporate errors in detection. We intend to use Bayesian hierarchical modelling approaches for which the candidate should preferably have some background knowledge.

There are also possibilities for pursuing related research.

Expertise required

Bachelor Honors degree (a four year Bachelor's degree) or M.Sc. in mathematics, statistics, or related areas. Some experience/knowledge of theory and application of Bayesian methods and programming in R or MATLAB is required.

Please see here for other requirements of related PhD program at RIMT University.

Applications will close when a candidate is selected.

For further information please contact Dr. Haydar Demirhan (, Prof. Lewi Stone (

**Mention you saw it on the AustMS website**