Position Description

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

• Opportunity to contribute to cutting-edge statistical research and be part of a multi-institutional team with strong expertise across statistical methodology, computation, and high-impact scientific applications.

• Base Salary, level A $113,400 - $121,054 p.a + 17% superannuation

About the opportunity

The School of Mathematics and Statistics (SMS) is currently seeking a Postdoctoral Research Associate in Statistics to develop new theory, methods, and applications of statistical dimension reduction for data with complex structures, including but not limited to, multi-way clustered, spatial-temporal, and network dependence.

The successful applicant will be jointly supervised by CIs Linh Nghiem, Rachel Wang, and Shila Ghazanfar at SMS, and Francis Hui at the Australian National University (ANU).

Your key responsibilities will be to:

• conduct research under ARC DP grant DP260100579 with the aim of developing modern sufficient dimension reduction techniques for complex dependent data

• contribute to writing statistics and interdisciplinary journal articles, along with other research outputs such as research software

• present results of research at conferences and other venues

• assist with the supervision and mentoring of postgraduate students as appropriate.

The role is based in SMS, a centre for cutting-edge mathematical research in Australia. To date, University of Sydney is the only Australian university to have received the highest rating (5 out of 5) for research in the mathematical sciences in every Australian Research Council Excellence in Research for Australia.

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 (or close to completion) in Statistics or a closely related area

• a demonstrated track record of research outputs in statistical theory and methodology, as evidenced by publications in relevant peer-reviewed journal articles, presentations at seminars and conferences, and student awards/prizes in statistics (for instance)

• familiarity with statistical software, preferably with R and/or Python

• demonstrated ability to work independently and as part of a team with minimal supervision

• excellent communication (oral and written) skills in the English language, and a demonstrated ability to interact effectively and appropriately with a variety of staff and students in an academic environment.

Pre-employment checks and declarations 

Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University.  Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. 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 LGBTQIA+. We welcome applications from candidates from all backgrounds. 

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum 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 by email to recruitment.sea@sydney.edu.au

© The University of Sydney

The University reserves the right not to proceed with any appointment.

Click to view the Position Description for this role.

Applications Close

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.