This Earmarked Scholarship project is aligned with a recently awarded Category 1 research grant. It offers you the opportunity to work with leading researchers and contribute to large projects of national significance.
Supervisor – Dr Reuben Rideaux, r.rideaux@uq.edu.au
Virtually all aspects of human behaviour are underpinned by brain processes that decode sensory input from the environment, compute information in support of learning, memory and higher cognitive processes, and control actions that enable adaptive responses. The overarching goal of this project is to characterise some of the perceptual and cognitive processes that support adaptive human behaviour, and to determine the role of specific brain areas and networks in these processes.
Despite the enormous strides that have been made in understanding human sensory and cognitive processes over the last 20 years, there are still many fundamental gaps in our understanding of how the brain regulates these processes. We now have the capacity to image the living brain using methods such as electroencephalography (EEG) and magnetic resonance imaging (MRI) as people undertake various perceptual and cognitive tasks. This project will use these different techniques, alone and in combination, to better understand the neural processes that underpin perception and cognition.
Preferred educational background
Applications will be judged on a competitive basis taking into account the applicant's previous academic record, publication record, honours and awards, and employment history.
A working knowledge of human behavioural testing, statistical analysis, and/or computer programming would be of benefit to someone working on this project.
The applicant will demonstrate academic achievement in the field(s) of experimental psychology, sensory or cognitive neuroscience and/or computer science and the potential for scholastic success.
A background or knowledge of human behavioural testing (experimental psychology), neuroimaging, data analysis, and /or programming proficiency in MATLAB/Python is highly desirable.
*The successful candidate must commence by Research Quarter 4, 2022. You should apply at least 3 months prior to the research quarter commencement date. International applicants may need to apply much earlier for visa reasons.