This role is based within the Australian Centre for Precision Health and Technology (PRECISE) part of Griffith Health. PRECISE brings together researchers engineers clinicians and health professionals to drive innovation across orthopaedic cardiovascular and neuromusculoskeletal conditions with strong hospital and industry partnerships.
As a Research Fellow - Neural Interfaces & Neurorehabilitation you will play a key role in translating cutting-edge research into practical neurorehabilitation solutions. Your work will focus on neural interfaces wearable technologies and neuromusculoskeletal modelling to support rehabilitation following spinal cord injury.
Heres how youll make it matter:
Lead research activities to develop neural interfaces for arm and hand movement prediction.
Develop software and novel methodologies using physics-informed neural networks.
Conduct data collection and analysis with uninjured participants and clinical populations including individuals with spinal cord injury and traumatic brain injury.
Contribute to the development and testing of wearable functional electrical stimulation technologies exoskeleton control and neuromusculoskeletal models.
Prepare and disseminate research outcomes through peer-reviewed publications conference presentations and reports.
Contribute to funded research projects and support supervision of higher degree research candidates and research staff.
This is a fixed-term (2-year) full-time position based at Griffith Universitys Gold Coast campus.
As Griffith is a multi-campus University you may be required to work across other locations. Griffith Universitys sites are located on the lands of the Yugambeh and Kombumerri peoples.
Salary Range
The full-time equivalent base salary will be Research Fellow Grade 1 range $88689 - $103888 per annum 17% superannuation.
The total FTE package will be in the range $103766 - $121548 per annum.
Qualifications :
What matters most is your drive to create a brighter future that benefits all. Through our principles of excellence ethics and engagement youll thrive on seeing the direct and lasting impact your research has on people living with serious injuries.
Essential
A completed or near-completed PhD in neurorehabilitation biomechanics biomedical engineering or a related field.
Demonstrated expertise in neuromusculoskeletal modelling (e.g. OpenSim CEINMS).
Strong knowledge and practical skills in EMG signal processing.
Programming proficiency in Python and/or C for software development and data analysis.
Strong understanding of neural interfaces motor control and human movement biomechanics.
Experience working with human participants and managing research protocols.
Strong written communication skills for academic publication.
Highly Regarded
Experience with machine learning or AI frameworks (e.g. PyTorch).
Background in rehabilitation robotics or assistive technologies.
Experience working with clinical populations particularly SCI or TBI.
A developing track record of peer-reviewed publications.
You will also bring a collaborative mindset strong analytical problem-solving skills and a genuine commitment to improving outcomes for people living with serious injuries.
Additional Information :
At Griffith were committed to providing a safe and inclusive environment for all - whoever you are and wherever youre from. If you require any accommodations we welcome you to let us know so we can work with you to participate fully in our recruitment experience.
Griffith University values diversity inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander and people of all backgrounds to apply. For more information please visit our Equity Diversity and Inclusion page. Griffith University also maintains a strict zero-tolerance policy against all forms of modern slavery. For more information please refer to Griffiths Modern Slavery Policy.
Please submit your application online and ensure it includes the following:
Applicants must have unrestricted working rights. Sponsorship is not available for this position.
Further Information
For further information about this role please contact: Dr Claudio Pizzolato Australian Centre for Precision Health and Technology (PRECISE) at Griffith University on
Closing date: Sunday 4 January 2026 AEST.
All applications must be submitted online.
Remote Work :
No
Employment Type :
Full-time
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