Postdoctoral Research Fellow
Location: St Lucia, QLD
Work type: Full time, Fixed-term
Classification: Academic Research Level A1
Salary: $64,5333.50 – $87,535.13
Close date: 19 June 2018
The Postdoctoral Fellow will be part of Dr Eve McDonald-Madden’s lab within SEES. The lab is a diverse group of researchers that focusses on improving environmental decision-making in complex systems. The lab uses novel techniques from decision science, mathematics, artificial intelligence, network theory and economics to incorporate complexity such as the social context of decisions, the complexity of interacting species and the uncertainty faced by decisions makers.
The Postdoctoral Research Fellow will support Dr Eve McDonald-Madden’s Future Fellowship titled “Where’s the beef? A systems approach to taming a global emerging wicked environmental problem.” The successful appointee will investigate application of novel methodologies to model beef supply and demand at a global scale to analyse the impacts of different policies on the environment and society. Further to assess the best locations for beef production across the globe to attempt to supply the growing beef demand for the least environmental and economic impact.
There are opportunities to work with large data sets and to be part of research teams, to address individually-developed and collaboratively-generated research questions, and to supervise honours, masters and doctoral students.
Applicants should possess a PhD in maths, engineering, economic modelling, systems modelling, ecological modelling, or a closely related discipline. You should also have demonstrated research experiences on quantitative modelling with a focus on complex systems, a track record of publications in the field in high quality journals, experience in liaising and collaborating with external agencies, an ability to work collaboratively with colleagues and stakeholders but also able to work independently, and high level inter-personal and communication skills. Experience with, economic, trade or agricultural models, modelling at a global scale, optimization and/or game theory is desirable.
For more information or to apply, please view the position description here.