Postdoctoral Research Fellow Grade 1 Grade 2 Statistical Modelling
Postdoctoral Research Fellow Grade 1 Grade 2 Statistical Modelling
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Job Description
We are seeking a Postdoctoral Research Fellow who will join our research team actively engaged in pioneering research in statistical modelling and their applications (in applied statistics). In this role it is expected that you will contribute towards collaborative and independent research on an Australian Research Council (ARC) Discovery Project: Advancing statistical models for clustering data with structured dependence (DP. This project aims to develop novel methods to identify important subgroups in data with various forms of dependence. It will propose new modelbased clustering techniques that can capture complex relationships in data and enhance model validity. The primary intended outcome is to develop advanced methods and algorithms that can accurately identify clusters patterns outliers and model evaluation. The potential benefits are to improve the validity of clustering models for analysing dependent data and direct effective crime prevention in Australia with key application to Queensland Police Service (QPS) crimeincident data for improvement to the understanding of cooffending crimes repeat victimisation and crime hot spots.
Key responsibilities of this position include:
- Contribute with the Investigators to the development of statistical methodology and algorithms in the following research areas: GLMMs to effectively capture a variety of mixed intra and betweensubject correlations by random effects mixedeffect mixture models for clustering recurrent event data and random graphs robust estimation methods via expectationmaximisation (EM) based algorithms predictive inference methods for assessing random effects in mixture models and graphic visualisation methods for mixture models of random graphs.
- 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 highquality research outputs including publications in peerreviewed journals.
The successful candidate will also contribute to the supervision of the PhD student funded by this ARC award as well as assist in statistical consulting activities in the Griffith Biostatistics Unit Griffith Health as appropriate. The candidate will have the opportunity to work with both national and international teams and research partners outside of Griffith University. Thus this position provides significant opportunities for growth and to pursue a career in academia or industry.
What we can offer
This is a fixed term 2.5 years with the possibility of an extension subject to funding) full time position and will be primarily based at the Griffith University Brisbane South (Nathan) location.
As Griffith is a multicampus University you may be required to work across other campus locations. Griffith Universitys campuses are located on the lands of the Yugarabul Yuggera Jagera Turrbal Yugambeh and Kombumerri peoples.
Salary Range
The full time equivalent base salary for a Research Fellow (Grade 1 will range from $88689 $103888 per annum 17 superannuation. The total FTE package will range from $103767 $121549 per annum.
The full time equivalent base salary for a Research Fellow (Grade 2 will range from $113226 $134460 per annum 17 superannuation. The total FTE package will range from $132474 $157318 per annum.
Qualifications :
The successful candidate will have:
- A PhD in statistics (or closely related discipline) preferably in statistical modelling and mathematical statistics with experience in cluster analysis generalised and nonlinear regression and mixture models.
- Demonstrated track record to lead in the production of research outcomes such as publications in high impact peerreviewed journals and conference proceedings (Grade 1 and track record to lead in awards/grants in related research areas (Grade 2.
- Demonstrated knowledge and experience in computational programming for statistical modelling (especially in R Python and/or Julia).
- Excellent oral and written communication skills in English (international applicants whose first language is not English need to show how they meet English Language Proficiency requirements).
- Demonstrated good time management skills to ensure research activities are completed to the highest possible standards and within a set time frame.
- Demonstrated ability to work independently as well as within a team of researchers from different discipline areas and/or institutions.
Additional Information :
As a valuesled organisation at Griffith University weve worked hard to create a dynamic and strong organisational culture. 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
How to apply
At Griffith were committed to providing a safe and inclusive environment for all whoever you are and wherever youre from. If you require any accommodations we welcome you to let us know so we can work with you to participate fully in our recruitment experience.
Griffith University values diversity inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander and people of all backgrounds to apply. For more information please visit our Equity Diversity and Inclusion page. Griffith University also maintains a strict zerotolerance policy against all forms of modern slavery. For more information please refer to Griffiths Modern Slavery Policy.
Please submit your application online and ensure it includes the following:
- A covering letter outlining your suitability for the role (please refer to the Qualifications section above and the position description
- Current curriculum vitae/resume including full contact details
- Names and contact details of at least three professional referees (no contact will be made without your permission).
Applicants must have unrestricted working rights. VISA sponsorship is not available for this position.
For further information specifically about this role please contact Professor Angus Ng at .
For application and recruitment advice please contact Jinita Dhall Talent Acquisition Partner at .
Closing date: Monday 5 May 2025 at 11:59pm AEST. All applications must be submitted online. Please allow at least 1 2 weeks from the closing date to expect an application update.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
