Research Fellow in Computational Neuroscience
Job No.: 686523
Location: Clayton campus
Employment Type: Part-time, fraction (0.7)
Duration: Fixed-term appointment until 30 November 2026
Remuneration: Pro-rata of $83,280 - $113,025 pa Level A (plus 17% employer superannuation)
- Amplify your impact as a Research Fellow in Friedreich Ataxia research
- Join our inclusive, collaborative team driving neuroimaging innovation
- Be surrounded by extraordinary ideas and experts in neurodegenerative research
The Opportunity
We are seeking a passionate Research Fellow to join the team and contribute to a multidisciplinary project aimed at advancing the understanding, drug development and clinical management of Friedreich Ataxia (FA), a rare progressive neurodegenerative disease. In this role, you will work with the internationally recognised TRACK-FA dataset, applying computational modelling and neuroimaging analysis to explore brain structure-function relationships and identify imaging biomarkers that could inform future clinical care and treatment strategies.
The position will play a key role in sharing research findings through manuscript preparation, publication in peer-reviewed journals and presentations at international conferences. The Research Fellow will also actively participate in collaborative lab initiatives, interdisciplinary project meetings and wider group activities, contributing to the research direction and outputs of a team dedicated to translating discovery into meaningful impact for people living with Friedreich Ataxia.
We are seeking someone with a PhD in computer engineering, biomedical engineering, neuroscience, physics or a closely related discipline, supported by demonstrated experience in computational modelling, neuroimaging or signal processing. Strong analytical and writing skills, along with the ability to manage complex datasets and work effectively in collaborative teams, will also be essential.
If you are motivated by meaningful research and wish to join a team dedicated to advancing knowledge in neurodegenerative disease, we invite you to apply and help make a lasting difference in the field of Friedreich Ataxia research.
About Monash University
At Monash, work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen.
We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.
Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy.
In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world’s top-50 universities in rankings including the QS World University Rankings 2026.
Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.
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Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.
To Apply
For instructions on how to apply, please refer to
'How to apply for Monash Jobs'. Your application must address the Key Selection Criteria.
Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.
Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.
Enquiries: Ms Emma Moon, Project Coordinator (TRACK-FA), emma.moon@monash.edu or +61 3 9905 3487 or Dr Susmita Saha, Research Fellow, saha.saha@monash.edu or +61 (0)416 945 386
Position Description: Research Fellow, Computational Neuroscience
Applications Close: Wednesday 19 November 2025,11:55pm AEDT
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