Full time, 2-year fixed term position with potential to extend. Located on the Camperdown Campus at the School of Physics.
Exciting opportunity to conduct research in a world-leading interdisciplinary environment for studying the dynamics of complex physical systems.
Base Salary, Academic Level A, $113,634 - $113,634 p.a + 17% superannuation.
About the opportunity
The School of Physics at the University of Sydney is currently seeking a Postdoctoral Research Associate (Physics) to work within the Dynamics and Neural Systems Group, led by A/Prof Ben Fulcher, on developing novel methods to analyze non-stationary complex physical systems with applications to quantifying dynamical patterns in multivariate electrophysiological data of sleep dynamics. There is some freedom to tailor the specific research to the candidate, according to their expertise and interests, from more theoretical projects focused on characterizing non-stationary complex systems, through to more data-driven applications of such methods. The associated research is supported by an ARC Future Fellowship.
Your key responsibilities will be to:
interact positively and productively with members of the Dynamics and Neural Systems Group
develop new understanding of non-stationary complex systems through theoretical analysis and numerical simulation
develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time-series data
assist in the supervision of PhD and Honours students working on related topics, including the analysis of large-scale sleep recordings from a dynamical systems perspective.
About you
The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate who has:
a PhD in a quantitative field (e.g., physics, mathematics, computer science)
interest and experience in simulating and analyzing multivariate time-series data
interest and experience developing and working with open scientific software
interest in analyzing the dynamics of complex physical systems
interest in using statistical learning to infer dynamical models from data
a productive and collegiate attitude to working in diverse interdisciplinary teams.
Pre-employment checks
Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.
EEO statement
At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion , evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People , women , people living with a disability , people from culturally and linguistically diverse backgrounds , and those who identify as LGBTIQ+ . We welcome applications from candidates from all backgrounds.
We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion .
How to apply
Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.
For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.
For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Simon Drew, Recruitment Operations, Human Resources at recruitment.sea@sydney.edu.au
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Applications Close
Sunday 31 August 2025 11:59 PM