Postdoctoral Research Associate in Neurodynamics and Computational Neuroscience – University of Sydney

School of Physics, Faculty of Science
Reference no. 076/0116

  • Research focused on understanding complex neural dynamics and neural coding principles
  • Join an international research team with strong expertise in computational neuroscience
  • Full-time 2-year fixed term (possibility of extension up to 3 years, subject to performance) Remuneration package: $101k p.a. which includes leave loading and up to 17% super


The University of Sydney is Australia’s first university and has an outstanding global reputation for academic and research excellence. It employs over 7500 permanent staff, supporting over 52,000 students.

We seek a talented and motivated candidate to join the University of Sydney as a postdoctoral research fellow. This position is part of a newly funded ARC Discovery project led by the chief investigator Dr Pulin Gong, with Professor Xiao-Jing Wang at New York University and NYU Shanghai as an international collaborating investigator.

We will study the dynamic origins of complex neural dynamics and their neural computation principles. These fundamental questions will be addressed by building and analyzing large-scale spiking neural circuit models informed and constrained by neurobiological and psychological data. Successful candidates will have the opportunity to interact and collaborate with internationally leading computational and systems neuroscience groups.

Essential appointment criteria:

  • a theoretical/computational PhD in physics, computational neuroscience, biological modelling, applied mathematics, engineering, or allied field
  • experience in brain modelling or computational neuroscience
  • excellent computational skills and demonstrated ability to carry out computational modelling in MATLAB or C/C++
  • proved research ability and evidence of self-motivation and research potential, including the ability to conduct research activities under limited supervision
  • publications in refereed journals
  • demonstrated written and oral communications skills, including preparing and making scientific presentations
  • demonstrated ability to work cooperatively with others in multidisciplinary teams.

Desirable criteria are:

  • familiarity with background areas such as nonlinear dynamics, statistical physics, oscillation and wave theories, and neuroscience
  • demonstrated ability to relate theoretical predictions to experimental data and vice versa
  • ability to start work by 1 June 2016

All applications must be submitted via the University of Sydney careers website. Visit http://sydney.edu.au/recruitment/ and search by the reference number (076/0116) for more information about how to apply.

Closing date: 11:30pm 6 March 2016