Research Fellow, Systems and Computational Neuroscience Job No.
: 676758 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $80,464 - $109,203 pa Level A (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity Unlock the mysteries of the brain.
Join a pioneering team at the forefront of neuroimaging and computational neuroscience.
We are seeking an exceptional early-career researcher to join a multidisciplinary team as a Research Fellow in Systems and Computational Neuroscience.
This exciting opportunity is perfect for someone passionate about applying advanced imaging and computational tools to tackle some of the most complex questions in brain science.
As a Level A research-only academic, you will contribute to projects that integrate computational models with experimental neuroimaging data to better understand the structure and function of the brain—across health, disease, and species.
You'll work with world-class researchers in fields including network science, biophysical modelling, neuroimaging, genetics, and comparative neuroscience.
This role offers a platform to build your research profile, collaborate across disciplines, co-supervise students, and contribute to high-impact discoveries.
Key Responsibilities Conduct independent and collaborative research in systems and computational neuroscience Integrate and analyse multimodal data using advanced modelling and programming techniques Contribute to peer-reviewed publications, conference presentations, and research reports Support and mentor research staff and students Participate in the development of funding applications and ethics submissions Attend team meetings, seminars, and relevant departmental activities Assist in experimental design and use of advanced technical equipment About You We're looking for a motivated and technically skilled researcher who brings: A PhD in Computational Neuroscience, Physics, Engineering, Computer Science, Psychology, or a related discipline Strong quantitative and programming skills (preferably MATLAB, Python, and/or C++) A strong track record of research output, including journal publications and conference contributions Expertise or strong interest in one or more of the following areas: Computational modelling of neural systems Bioinformatics Imaging genetics Neuroimaging techniques (MRI, MEG, EEG) Comparative or cross-species neuroscience Excellent problem-solving, organisational, and communication skills A collaborative approach and enthusiasm for interdisciplinary work Experience working with large-scale neuroscience data is desirable About Monash University At Monash, work feels different.
There's a sense of belonging, from contributing to something groundbreaking – 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.
Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.
Learn more about Monash.
Join the pursuit of our purpose to build a better future for ourselves and our communities - #ChangeIt with us.
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'.
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.
We are committed to fostering an inclusive and accessible recruitment process at Monash.
If you need any reasonable adjustments, please contact us at ****** in an email titled 'Reasonable Adjustments Request' for a confidential discussion.
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: Dr James Pang, NHMRC Emerging Leadership Fellow, ****** Position Description: Research Fellow - Level A Applications Close: Sunday 18 May 2025, 11:55pm AEST