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Swinburne University of Technology

PhD Scholarship

PhD Scholarship in Multimodal Imaging for Epilepsy Surgery Assessment Swinburne University of Technology in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

Full-time fixed-term PhD scholarship for 3.5 years with a scholarship stipend of $42,440 per annum. The project is linked to an NHMRC Ideas Grant and offers training, research facilities, and project support.

Deadline

Nov 22, 2026

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Country

Australia

University

Swinburne University of Technology

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Keywords

Computer Science
Psychology
Biomedical Engineering
Epileptology
Neuroimaging
Neuropsychology
Medical Science
Multimodal Imaging
Fmri
Meg
Physics

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About this position

PhD scholarship opportunity at Swinburne University of Technology for research in multimodal imaging for epilepsy surgery assessment. The project is based at the Hawthorn campus in Melbourne, Australia, within the Centre for Mental Health and Brain Sciences.

This PhD focuses on improving the localisation of epileptogenic brain regions and refining non-invasive methods for identifying suitable epilepsy surgery candidates. The research is linked to an NHMRC Ideas Grant and involves advanced neuroimaging and translational clinical research.

Students will be trained in multiple imaging modalities, including functional MRI (fMRI), high-density EEG (HDEEG), magnetoencephalography (MEG), and structural MRI (sMRI). A major part of the project is developing integrated acquisition, processing, and analysis pipelines that combine these techniques for more accurate epilepsy surgery planning.

Suitable backgrounds include neuroimaging, computational neuroscience, biomedical engineering, computer science, epilepsy research, medical physics, and data science. Experience with imaging analysis, signal processing, programming, machine learning, or quantitative research methods is highly regarded.

Eligibility notes: applicants should hold an undergraduate degree in science, psychology, neuroimaging, computational neuroscience, or a related discipline. The scholarship is full-time and fixed-term for 3.5 years.

Funding: scholarship stipend of $42,440 per annum. Applications close 2026-11-22.

How to apply: submit a CV and cover letter addressing the Key Selection Criteria and your suitability for the position via the Swinburne jobs application page.

Funding details

Full-time fixed-term PhD scholarship for 3.5 years with a scholarship stipend of $42,440 per annum. The project is linked to an NHMRC Ideas Grant and offers training, research facilities, and project support.

What's required

Applicants should have an undergraduate degree in science, psychology, neuroimaging, computational neuroscience or a related discipline. A strong academic background is expected, and experience with imaging analysis, signal processing, programming, machine learning, or quantitative research methods would be highly regarded. Relevant interests include neuroimaging, computational neuroscience, biomedical engineering, computer science, epilepsy research, medical physics, and data science.

How to apply

Submit a CV and cover letter addressing the Key Selection Criteria and your suitability for the position. Use the Apply link on the Swinburne jobs page to access the position description and application portal. Contact the Talent Acquisition team if you experience technical difficulties.

More information can be found here

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