PhD, Multimodal MRI Biomarkers for Motor Neuron Disease

Project description

This funded PhD project will develop and evaluate multimodal MRI biomarkers for the diagnosis and monitoring of motor neuron disease (MND). The successful candidate will integrate diverse imaging measures including structural, diffusion, functional, spectroscopic, and spinal MRI into unified computational models that capture disease heterogeneity and progression.

Applicants should have prior experience in at least one of the following areas: magnetic resonance imaging, medical image analysis, computational modelling, machine or deep learning, or clinical neuroscience. Strong interpersonal skills and an interest in interdisciplinary collaboration are essential.

This funded scholarship includes stipend (living allowance) and tuition fees.

Research environment

Working within a multidisciplinary environment at UQ’s Centre for Advanced Imaging and School of Electrical Engineering and Computer Science, the student will collaborate closely with clinicians and patient groups. The project will involve data analysis, machine/deep learning technologies, and the development of clinically interpretable models that link imaging findings with patient outcomes. There will also be opportunities to contribute to open-source neuroimaging software and to translate research outputs into tools suitable for clinical use.

The project will also involve collection of patient data at the University of Queensland’s Ultra-High-Field (7T) MRI scanner.

Applicants from any of the following disciplines are encouraged to apply:
psychology, biomedical science/engineering, neuroscience, computer science, data science, medical.