Research Associate in Mathematical Biology (with a focus on Modelling the Immune System)

University of Sydney

  • Full time, 2 years fixed term. Located on the Camperdown Campus at the School of Mathematics and Statistics

  • Opportunity to make a significant contribution to research in Mathematical Biology

  • Base Salary, Level A $100,717 – $107,516 + 17% superannuation 

About the opportunity

The University of Sydney is seeking to appoint a 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. 

Some of your key responsibilities will be to:

  • work under the supervision of Prof Kim and collaborate with the other investigators on the team

  • develop mathematical and computational models of immune dynamics

  • formulate ordinary and partial differential equation models and agent-based models as appropriate

  • 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 Professor Peter Kim (University of Sydney), Professor Federico Frascoli (Swinburne University of Technology), Dr Robyn Araujo (Queensland University of Technology), and partner investigator Prof Peter Lee (City oh Hope and Beckman Research Institute, Duarte, USA).

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

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 Research Associate who has:

  • a PhD (or near completion) in mathematics, computational biology, mathematical physics, biological physics, or related fields, demonstrated ability to conduct high quality research in mathematical biology, mathematical physics, or biological physics

  • experience preparing research papers and presentations

  • experience developing differential equation models or agent-based models with applications in biology.

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 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 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

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 support filling out this application, please contact Simon Drew, Recruitment Operations, Human Resources at [email protected]

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Click to view the Position Description for this role.

Applications Close

Sunday 06 August 2023 11:59 PM

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