Research Fellow/Senior Research Fellow, School of Mathematics and Statistics

Location
Sydney, Australia
Posted
20 Nov 2020
End of advertisement period
13 Dec 2020
Ref
1351/1120F
Contract Type
Fixed Term
Hours
Full Time
  • Opportunity for a data scientist/biostatistician to work collaboratively on multiple grants
  • Located on the Camperdown Campus at the School of Mathematics and Statistics
  • Full-time Level B or C, 2 years fixed term with a base salary of $108K - $153K p.a., plus leave loading and a generous employer’s contribution to superannuation

About the opportunity 

We are looking for a talented data scientist to join our team as a Research Fellow (Level B) or Senior Research Fellow (Level C) andwork collaboratively on multiple grants funded by the NHRMC, MRFF and the Paul Ramsay Foundation. These grants aim to develop new mathematical models to address concerns such as Gestational Diabetes, Mental Health and Social Disadvantage. The successful candidate will join a vibrant environment where collaboration between academia, industry and government agencies prevails. This position will be part of our applied team and work on the implementation of existing statistical methodologies to the area of, diabetes, mental health and social disadvantage. While some experience in these applied domains is desirable, it is not necessary.

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 Research Fellow/Senior Research Fellow who has:

  • a PhD (or equivalent) in statistics/ biostatistics / applied mathematics, machine learning or a related discipline
  • proficiency in one or more modern programming languages (Python, modern C++ or R). Demonstrable use of other programming languages is welcome
  • expertise in mathematical and computational modelling of complex systems
  • a demonstrated track record of applying latest developments in statistical machine learning to domain areas
  • a demonstrated research ability in statistics/machine Learning, and Bayesian methodology and computation

About us

The School of Mathematics and Statistics is one of the largest mathematical sciences schools in Australia, and in the past three years alone, our researchers have secured more than $12 million in funding from the Australian Research Council (ARC) and the National Health and Medical Research Council to fund 30 separate research projects, and have published more than 400 refereed journal articles as well as eight books. For more information please refer to the School of Mathematics and Statistics. 

Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion and underpin our long-term strategy for growth. We’re Australia's first university and have an outstanding global reputation for academic and research excellence. Across our campuses, we employ over 8,100 academic and non-academic staff who support over 73,000 students.

We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us.

How to apply

For more information on the position and University, please view the position summary available from the job’s listing on the University of Sydney careers website.

All applications must be submitted via the University of Sydney careers website. Visit https://sydney.edu.au/about-us/careers-at-sydney.html and search by the reference number 1351/1120F to apply.

Please note: Visa sponsorship is not available for this position

Closing date: 11:30pm, Sunday 13 December 2020

The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.

©The University of Sydney

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

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