Postdoc in Mathematical Biology at Univ. Sydney

Location: School of Mathematics and Statistics, The University of Sydney
Employment Type: Full time 2 year fixed term
Duration: 2 years fixed term appointment
Remuneration: $97,043–$100,717 p.a. + 17% superannuation (Level A)
Closing Date: 11.59pm; 13 August 2023

About the opportunity

We are seeking to appoint a Postdoctoral Research Associate in Mathematical Biology (with a focus on modelling the immune system) to conduct innovative research in mathematical and computational modelling of immune system dynamics. The position will be under the supervision of Prof Peter Kim (University of Sydney).

Some of your responsibilities will be to:

• work under the supervision of Prof Peter Kim in collaboration with Prof Federico Frascoli (Swinburne University of Technology), Dr Robyn Araujo (Queensland University of Technology), and Prof Peter Lee (City of Hope and Beckman Research Institute, Duarte, USA)
• develop mathematical and computational models of immune dynamics
• write scholarly papers for publication in academic journals
• present research at seminars, conferences, and workshops
• teach undergraduate courses (approximately 26 lecture hours and 24 tutorial hours per year)

This position has been made possible by the awarding of an Australian Research Council Discovery Project to chief investigators Prof Peter Kim (University of Sydney), Prof Federico Frascoli (Swinburne University of Technology), Dr Robyn Araujo (Queensland University of Technology), and partner investigator Prof Peter Lee (City of Hope and Beckman Research Institute, Duarte, USA).

To learn more about the School of Mathematics and Statistics click here.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Pre-employment checks

Your employment is conditional upon the completion of all roles 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 include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through 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.

How to apply

Learn more about this position and apply:–with-a-focus-on-Modelling-the-Immune-System-_0105303-1.

Postdoctoral Research Fellow in Statistical Mechanics

Location: School of Mathematics and Statistics, The University of Melbourne
Level: A/B
Duration: 2 years
Closing date: 5 August 2023

This is an exciting opportunity to work on the Australian Research Council funded project “Transformative simulation techniques for complex networks” with a team of esteemed researchers led by Professor Aleks Owczarek and Dr Nicholas Beaton. The project aims to expand the simulation of single-lattice polymer models in statistical mechanics to a range of complex topologies and complicated interacting environments using next generation simulation algorithms on modern computational clusters.

The project provides a unique platform to collaborate with leading researchers around the world based at the Queen Mary University of London, University of British Columbia and Swinburne University of Technology.

You will significantly contribute towards the research effort of the team and to develop your research expertise with an increasing degree of autonomy under the guidance (at Level A) and in collaboration (at Level B) of Senior Academic staff conduct internationally competitive research, resulting in publications in high impact journals. In particular you are expected to progress the research agenda described in the ARC DP230100674 proposal as developed by the CIs, and contribute to teaching, training, scientific mentoring and supervision of students

For more information and to apply, see