Bayesian Computation Research Fellow

Location
Brisbane, Australia
Posted
22 Dec 2017
End of advertisement period
19 Jan 2018
Contract Type
Fixed Term
Hours
Full Time

Salary:

Salary range is $81,395 - $84, 257 per annum plus up to 15.75% superannuation with attractive salary packaging.

Duration of Appointment:

This is a full time appointment for three years.

What we offer:

  • Salary packaging
  • Bonus superannuation
  • State of the art facilities
  • Stimulating work setting focused on cutting edge medical research
  • Supportive/collaborative team environment

To Apply:

Submit an online application at:

http://www.qimrberghofer.edu.au/careers/positions-vacant/

Further Information:

Contact:

Professor Michael Breakspear,  Michael.Breakspear@qimrberghofer.edu.au

Closing Date:

4 February 2018

About the Systems Neuroscience Group:

The Systems Neuroscience Group is a multidisciplinary 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 methods 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 neurophysiological and 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.

About you:

The successful applicant will posses 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 inference methods for example Sequential Monte Carlo, particle filters, MCMC, ensemble Kalman filters or variational Bayes; previous experience with GPU programming or high performance computing clusters; or expertise in time series analysis or signal processing.

Please ensure your application addresses both the role and personal requirements found above