Postdoctoral Research Associate in Neurophysics of Sleep-Wake Dynamics and Circadian Rhythms

School of Physics, The University of Sydney
Reference no. 721/0417
• The position focuses on studying sleep-wake and circadian dynamics phenomena in the brain using mechanism-based modelling approaches and experimental data across various dynamical scales: from neurons to behavior
• Full-time, fixed term for 2 years with the possibility of extension to 3 years, subject to performance, funding, and need
Remuneration package: $104k-112k pro rata p.a. which includes leave loading and up to 17% superannuation

About the opportunity
Applications are sought for Postdoctoral Research Associate (Level A) in the School of Physics in the Complex Systems Group led by Professor Peter Robinson. The group is involved in a number of interdisciplinary research centres, including the NHMRC Centre of Excellence for Translational Sleep and Circadian Neurobiology (NeuroSleep), the ARC Centre of Excellence for Integrative Brain Function (CIBF), and the Cooperative Research Centre for Alertness, Safety, and Productivity, as well as numerous national and international collaborations.

About you
The successful applicant will work with a team of researchers on a variety of sleep-wake and circadian-related projects that underpin a wider program of sleep-wake and circadian research, including understanding and modelling of the relevant neurobiological mechanisms during normal sleep-wake cycles, circadian misalignment (e.g. jetlag), and sleep restriction, as well as prediction of dynamics in real-world conditions.

To be successful in this position you should have following:

• undergraduate major in physics, applied mathematics, or similar field
• theoretical/computational PhD in physics, computational neuroscience, biological modelling, applied mathematics, engineering, or allied field; thesis must have at least been submitted for examination by the time of interview for this position (approximately 3 weeks after closing date).
• experience in physiologically-based modelling of biological systems (as opposed to or in addition to signal analysis and statistical modelling).
• demonstrated ability to program in Matlab , C++, or Python
• 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

MORE INFORMATION at sydney.edu.au/recruitment
Closing date: 11:30pm 18 May 2017 (Sydney Time)