Mathematical Neuroscience Research Fellow
$81,395-$84,257 per annum plus up to 15.75% superannuation and attractive salary packaging.
Duration of Appointment:
This will be a full time three year appointment.
What we offer:
- Salary Packaging
- Bonus Superannuation
- Supportive/collaborative team environment
- State of the art facilities
- Stimulating work setting focused on cutting edge medical research
Submit an online application at:
Professor Michael Breakspear Michael.Breakspear@qimrberghofer.edu.au
15 October 2017
About the Translational Neuroscience Group:
The Translational Neuroscience Group is a multidisplinary team who undertake innovative brain imaging analysis in health and disease.
Role Purpose / Responsibilities:
You will contribute to developing and analysing new mathematical models of large-scale brain activity, including biophysical neural mass models and networks of non-linear oscillators; simulate computational models on GPUs or high performance computing clusters, and collaborate in applying these to clinical and neuroscience research; perform innovative analyses of high-dimensional neurophysiological and neuroimaging data; contribute to experimental design and prepare manuscripts for related studies; participate in intra-mural group activities, including presentation at lab meetings and collaboration with other lab members and clinicians.
The successful applicant will possess the following: PhD in mathematics, physics, bioengineering, computer sciences or related field; demonstrated ability to implement mathematical methods in code; evidence of strong oral and written communication skills. Ideally candidates may also have a published track record in analysis of non-linear dynamical systems, particularly neural mass or neural field models or coupled non-linear oscillators; previous experience with GPU programming or high performance computing clusters; previous experience in neuroscience research; or expertise in time series analysis or signal processing.
Please ensure your application addresses both the role and personal requirements found above