What you'll receive
- a scholarship of $27,596 (per annum, tax exempt and indexed annually) to support research and living expenses, paid paid fortnightly over 2 years.
To be eligible for this scholarship you must:
- have completed a high-quality honours degree in statistics or equivalent from a recognised institution
- be an Australian citizen or an Australian permanent resident.
How to apply
To express your interest in this scholarship, email Distinguished Professor Kerrie Mengersen.
Your email should include:
- an up-do-date CV
- a full academic transcript
- a brief summary of your career.
If considered appropriate, you will then by invited to apply for admission into study and the scholarship.
What happens next?
This scholarship will remain open until a suitable candidate is found.
For more information about the scholarship or application process please contact our Research Scholarships team.
About the scholarship
The Statistical Science discipline within the School of Mathematical Sciences, Science and Engineering Faculty at Queensland University of Technology is offering a Masters scholarship to create new methodology for Bayesian statistics and translate this to real-world challenges in industry, environment and health.
An enthusiastic graduate with skills in statistical theory, methods and computation and an interest in applied research is sought.
The successful applicant will commence their Masters by Research program as soon as possible and will contribute to the following research project supported by QUT and an Australian Research Council (ARC) Australian Laureate Fellowship:
- Bayesian Learning for Decision Making in the Big Data Era.
The student will have opportunities to acquire a wide range of research skills and develop advanced knowledge in the area of Statistics, with an emphasis on Bayesian Statistics. The research topic is highly innovative and it is expected that the student will adopt a ‘hands on’ approach to furthering our understanding of this field.
The successful applicant will work at QUT as part of the Bayesian Research & Applications Group (BRAG) and the Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS).
While it is not expected that the student will have full knowledge of all the systems and techniques required, it is important that the student be interested and motivated to acquire the necessary knowledge from the QUT staff involved with the project.
The topics investigated in the project will include:
- modern statistical methods for big data
- Bayesian statistical modelling
- modern computational methods
- applications to real-world problems.