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University of Sydney – Postdoctoral Research Associate in Statistics
Company NameUniversity of Sydney
Position TitlePostdoctoral Research Associate in Statistics
Company Information
The School of Mathematics and Statistics (SMS), University of Sydney
Duties and Responsibilities
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.
Position Qualifications
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.
Salary RangeBase Salary, level A $113,400 - $121,054 p.a + 17% superannuation
Benefits
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.
Position or Company Websitemyworkdayjobs.com
Application Instructions
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 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