Research Fellow in Bayesian Statistical Methods

Job no: 0032901
Location: Parkville
Role type: Full-time; Fixed Term for 2 years
Faculty: Faculty of Science 
School: School of Mathematics and Statistics
Salary: Level A - $80,258 - $108,906 p.a. OR Level B - $114,645 - $136,136 p.a. plus 17% super

• Contribute to developing computational and methodological approaches for modern data science.
• Drive innovative statistical methodology in a collaborative environment.
• Salary packaging, subsidised health and wellbeing services, fitness and cultural clubs, Myki discounts, and a 25% discount on graduate courses to our staff and their immediate families!

About the Role

The Research Fellow is responsible for developing computational and methodological approaches for modern data science, working independently and collaboratively across applications and theory. Supported by funds from the ARC Future Fellowship of Professor Howard Bondell, the role focuses on creating innovative, interpretable, theoretically justified, and scalable statistical methodology for complex data.

Your responsibilities will include:

• Contributing to and publishing academic papers and scholarly outputs at a high academic standard.
• Assisting in the preparation of research proposal submissions to external funding bodies under the guidance of senior academics.
• Contributing to and assisting in the co-supervision and training of MSc and PhD students.
• Engaging with relevant professional and industry bodies to foster collaborative partnerships.

Who We Are Looking For

You will be a highly motivated and independent researcher with a strong track record of original research publications and demonstrate the ability to work both collaboratively and autonomously. Additionally, you will demonstrate a strong collaborative approach with excellent communication skills and a clear commitment to professional and collegial values. 

You will also have:

• Completion (or near completion) of a PhD in statistics, data science, or a related discipline.
• Demonstrated capacity for outstanding research with a strong track record of original research publications in peer-reviewed international journals.
• Experience and potential to conduct research independently, showing growth in independence.
• Potential to secure funding from competitive external research granting bodies.

For further information regarding responsibilities and requirements, please refer to the attached PD.

This position requires the incumbent to hold a current and valid Working with Children Check to ensure the University provides a safe environment for everyone.

Please note: Visa sponsorship is available for this position.

Your New Team – School of Mathematics and Statistics

The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline.

What We Offer You!

In addition, we offer the opportunity to be part of a vibrant community and enjoy a range of benefits, including generous leave provisions, salary packaging, health and well-being services and discounts on graduate courses. For more information, check out our benefits page!

About the University of Melbourne

We’re tightly connected with the community, both at home and abroad. We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website and stay connected with our stories and people on LinkedIn.

Be Yourself

The University of Melbourne values the unique backgrounds, experiences and contributions that each person brings to our community and welcomes and celebrates diversity.  First Nations people, those identifying as LGBTQIA+, parents, carers, people of all ages, abilities and genders, and people of diverse ethnicity, nationality and faith are encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information please visit our Diversity and Inclusion page.

We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require any reasonable adjustments with the recruitment process, please contact the email address listed at the bottom of the page.

Aboriginal and Torres Strait Islander Applicants

We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.

For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring

Join Us!

To apply for this role, please submit your application via MathJobs - https://www.mathjobs.org/jobs/list/23869 

Applications not submitted via MathJobs will not be considered.

For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria

If you have any questions regarding the recruitment process, please feel free to contact Ana via email at Faculties-TA@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.

If you have any particular questions regarding the job please follow the details listed on the Position Description.

Applications close: 17 December 2023 11:55 PM Australian Eastern Daylight Time (AEDT)

Position Description: 0032901_Research Fellow in Bayesian Statistical Methods_PD.pdf