Bayesian Computation 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 Systems Neuroscience Group:
The Systems Neuroscience Group is a multidisplinary team who undertake innovative computational modelling and analysis of brain activity in health and disease.
Role Purpose / Responsibilities:
You will contribute to the design of systems for Bayesian inference on large data sets, to perform model selection, parameter estimation, data assimilation and prediction using forward models of brain dynamics; implement these methods on GPUs or high performance computing clusters, and collaborate in applying these to clinical and neuroscience research, including an application to diagnosis and treatment of epilepsy; perform innovative analyses of high-dimensional neuroimaging data; contribute to experimental design and prepare manuscripts for related studies; and 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, statistics, bioengineering, computer sciences or related field; demonstrated ability to implement mathematical methods in code; and evidence of strong oral and written communication skills. Ideally candidates may also have a published track record in applying computational Bayesian methods such as Sequential Monte Carlo, MCMC, Variational Bayes; 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