Publisher
source

Swinburne University of Technology

PhD Scholarship

PhD Scholarship in Source Imaging for Drug Resistant Epilepsy 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 at Swinburne University of Technology. Scholarship stipend is $42,440 per annum. The project is linked to an NHMRC Ideas Grant and offers access to state-of-the-art neuroimaging technologies and research facilities.

Deadline

Nov 22, 2026

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Country

Australia

University

Swinburne University of Technology

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Keywords

Computer Science
Biomedical Engineering
Neuroimaging
Statistical Analysis
Eeg
Neuropsychology
Medical Science
Magnetoencephalography
Clinical Translation
Statistics
Physics
Medical Physic

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About this position

PhD scholarship opportunity at Swinburne University of Technology for research in source imaging for drug-resistant epilepsy. The project is based at the Hawthorn campus in Melbourne and sits within the Centre for Mental Health and Brain Sciences.

This PhD is linked to an NHMRC Ideas Grant focused on Non-invasive Dynamic 3D Phase-Velocity Field Imaging (PVFI) to improve epilepsy surgery eligibility and outcomes. The research combines neuroscience, neuroimaging, computational neuroscience, biomedical engineering, medical physics, and statistical analysis, with work involving High Density Electroencephalography (HDEEG) and Magnetoencephalography (MEG).

The successful candidate will join a multidisciplinary team developing, validating, and translating source imaging and 3D PVFI technologies to better localise epileptogenic brain regions and support surgical decision-making for people with drug-resistant focal epilepsy.

Funding includes a full-time, fixed-term 3.5-year scholarship with a stipend of $42,440 per annum. The advert highlights access to state-of-the-art neuroimaging facilities, supervision and mentorship from leading researchers, and collaboration across clinical, engineering, and computational disciplines.

Eligibility highlights include an undergraduate degree in science, psychology, neuroimaging, computational neuroscience, or a related discipline, plus a strong academic background in relevant health, science, or engineering areas. Applicants should be highly motivated and interested in applying advanced analytical and imaging techniques to clinical challenges.

Applications close on Sunday 22 November 2026 at 11:00 pm. To apply, submit a CV and cover letter addressing the Key Selection Criteria and suitability for the role via the Swinburne jobs application page.

Funding details

Full-time, fixed-term PhD scholarship for 3.5 years at Swinburne University of Technology. Scholarship stipend is $42,440 per annum. The project is linked to an NHMRC Ideas Grant and offers access to state-of-the-art neuroimaging technologies and research facilities.

What's required

Applicants should have an undergraduate degree in science, psychology, neuroimaging, computational neuroscience, or a related discipline. The post seeks a highly motivated candidate with a strong academic background in epilepsy research, neuroimaging, statistical analysis, computational neuroscience, biomedical engineering, computer science, medical physics, or related health, science, or engineering disciplines.

How to apply

Submit your 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.

More information can be found here

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