Postdoctoral Research Fellow in Statistical Modelling
We are seeking a highly skilled Postdoctoral Research Fellow to join our research team and contribute to pioneering work in statistical modelling and its applications.
Research Area:
The successful candidate will be part of an Australian Research Council (ARC) Discovery Project: "Advancing statistical models for clustering data with structured dependence". This project aims to develop novel methods to identify important subgroups in data with various forms of dependence.
Key Responsibilities:
* Contribute to the development of statistical methodology and algorithms in GLMMs, mixed-effect mixture models, robust estimation methods, predictive inference methods, and graphic visualisation methods.
* Undertake statistical analysis of sensitive QPS crime data at the secure research facilities in the Social Analytics Lab (SAL) of the Griffith Criminology Institute (GCI).
* Produce high-quality research outputs including publications in peer-reviewed journals.
About You:
* You hold a PhD in statistics or a closely related discipline, preferably in statistical modelling and mathematical statistics.
* You have experience in cluster analysis, generalised and nonlinear regression, and mixture models.
* You possess demonstrated knowledge and experience in computational programming for statistical modelling, especially in R, Python, and/or Julia.
* You have excellent oral and written communication skills in English.
* You have good time management skills and can work independently as well as within a team of researchers from different disciplines and institutions.
What We Offer:
* Mix of on-campus and work-from-home options available and a supportive work environment.
* Salary packaging options and corporate health discounts.
* Generous leave entitlements, including paid parental leave and leave loading.
* Health, Safety, and Wellbeing initiatives – on-campus Gym facilities.