Funded by the Australian Research Council through a Linkage Project titled “Revolutionising high resolution water quality monitoring in the information age”, this PhD project will see the successful applicant develop new statistical and computational methods to guide the optimal placement of sensors to monitor water quality across Queensland rivers Australia.
Much of this work will be conducted in interdisciplinary teams, with strong engagement with international collaborators and industry partner organisations.
The successful applicant will receive a scholarship of $28,420 per year paid fortnightly as a stipend.
This PhD will be supervised by Associate Professor James McGree. The successful applicant will actively collaborate with other researchers in the School of Mathematical Sciences and QUT’s Centre for Data Science.
They will also be given opportunities to travel for presenting at local and international conferences, and for collaborating with other academics on research related to this project.
The research will be translated through scientific journal articles, presentations and software products.
Skills and experience
To be considered for this project, we expect you to have completed, or near completion of a:
- Bachelor of Mathematics (or a related field) with first-class Honours
- Masters by Research in statistics (or a related field).
You'll also need to show a strong ability with:
- statistical modelling and experimental design
- statistical programming languages such as R, Python, or C
- working collaboratively as part of a team
- using initiative
- working effectively under supervision
- written, oral and interpersonal communication skills.
You should also have knowledge of, or willingness to learn about, water quality dynamics in rivers to underpin the development of novel statistical methods. You'll also need to be willing to collaborate and engage closely with industry partners.
Please contact Associate Professor James McGree for more information.