Bayesian Approaches to Screening Designs of Experiments at RMIT University in Australia 2023

RMIT University invites applications for the Bayesian Approaches to Screening Designs of Experiments in Australia for the 2023/24 academic session.

This project aims to explore the current literature on Bayesian supersaturated D-optimal designs and develop new Bayesian A- or D-optimal designs that are more cost-effective and can be used with multi-stratum structures such as split-plot designs, control type I error around the desired level and improve the power.

Worth of Award

The Scholarship is worth $33,000 AUD per year for 4 years.

Eligibility

Eligible applicants must fulfill all the following 3 requirements.

1. Have a Master of Science or Engineering with a research component (thesis).
2. Have a Bachelor (Hons) of Science or Engineering.
3. Have an excellent knowledge of programming in R.

How to Apply

Applications should be submitted by email to A/Prof Stelios Georgiou within a single email titled “Scholarship Application in Bayesian Approaches to Screening Designs of Experiments”.

In this email the applicant needs to attach

1. A cover letter describing how the applicant’s skills and research experience address the selection criteria.
2. A current CV, academic transcripts, and a list of publications (if applicable).
3. At least one reference letter.

Selection criteria:

1. Degrees in Science or Engineering or equivalent (honours and MSc).
2. An interest in design of experiments and statistics.
3. Knowledge in using the R software in designing experiments and Bayesian Statistics.
4. Ability to work both independently and in a team.

Note that incomplete applications will not be considered.

Deadline: November 30, 2022.

Click here for more details and to apply