Metrics of expertise and meta-decision making in safety-critical decision making

Current metrics of human mental performance tend to be highly specific (e.g. measures of expertise in chess) or highly general (e.g., measures of visuospatial ability). But in order to predict errors in safety-critical decision making, a measure of people’s meta-decision making is necessary.

The successful candidate will work in an existing project funded by the Research Network for Undersea Decision Superiority (RN-UDS) led by Associate Professor Guillermo Campitelli and Dr. Matthew Thompson, at Murdoch University, with links with the Defence Science and Technology Group and Edith Cowan University.

The goals of the project are:

To integrate fundamental, domain-general metrics of expertise in safety-critical domains into an immersive performance environment.

To use VR capabilities to simulate performance pressures on visuo-spatial judgements, analytic decision-making, and meta-decision making.

To develop high-fidelity performance tests of cognitive capabilities that are prerequisite to safety-critical decision-making expertise across a variety of domains.


Study levelPhD
Funding bodyResearch Network Underwater Decision Superiority, Defence Science and Technology Group
Value$30,000 per year
Duration3 years, commencing June 2021
RequirementsHonours degree or equivalent in Psychology, Cognitive Science, Cognitive Neuroscience or cognate areas related to the topic.
Apply byMonday 30th May, 2021 at 11:59pm (AWST)
To applyQualified individuals are encouraged to submit their application by email to Dr. Guillermo Campitelli (Guillermo.campitelli@murdoch.edu.au). Please attach a single PDF file that contains one-page cover letter, academic curriculum vitae, academic transcripts, and the name and contact information of 3 referees.
ContactGuillermo.campitelli@murdoch.edu.au