Current opportunities at Melbourne

Research Fellow in Computational Bayesian Statistics

Job no: 0042510
Location: Parkville
Role type: 
Full-time (Fixed-term for 3 years)
Faculty of Science
Department/School: School of Mathematics and Statistics
UOM Level A - $80,258 - $108,906 p.a. plus 17% super

  • Rare opportunity to work on the project - “Improving estimates of antimalarial drug resistance” (APP2019093)
  • Contribute to a larger program of malaria modelling research at the University of Melbourne
  • 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
You will undertake the development of hierarchical models for geospatial antimalarial drug resistance, implementation of Bayesian inference methods, and mechanistic mathematical modelling of drug resistance spread. This role is funded by the National Health and Medical Research Council’s (NHMRC) Ideas Grant of Professor Jennifer Flegg, Professor Nick Golding and Associate Professor Dan Weiss. The appointee will be a member of the School of Mathematics and Statistics, reporting to Professor Jennifer Flegg

Your responsibilities will include:

  • Reporting Contribute to and publish academic papers and other scholarly outputs to a high academic standard in accordance with the research expectations of the University of Melbourne
  • Assist and actively contribute, under the guidance of Senior Academics to the preparation of research proposal submissions to external funding bodies
  • Under supervision, lead the development and calibration of models of antimalarial resistance, leading to technical documents, and peer-reviewed journal publications.
  • Involvement in professional activities including, subject to availability of funds, attendance at conferences and seminars in the field of expertise;

Who We Are Looking For

You will have experience in at least one of the following: Bayesian statistics,  applied statistics, geostatistics, computational statistics, mathematical biology and have a potential to earn income through nationally-competitive external research granting

You will also have:

  • Completion (or near completion) of a PhD in computational statistics, mathematical modelling, or related discipline.
  • Demonstrated capacity to engage in outstanding research consistent with the strengths and strategic directions of the NHMRC Ideas Grant, with a strong publication track record of original research publications in peer reviewed international journals, relative to time since PhD completion
  • Demonstrated capacity to work constructively and collaboratively with colleagues in furthering the aims of the School, and an ability to work in multidisciplinary research or teaching teams

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.

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.

The School of Mathematics and Statistics has a total of 70 continuing teaching and/or research staff; 34 research only staff and consultants; 16 academic specialists and 16 support staff. In 2020, there were 90 Research Higher Degree and 278 Coursework Master of Science students. Five members of the School staff and one Emeritus Professor are members of the Australian Academy of Science. The school currently hosts two ARC Centres of Excellence, and has hosted four ARC Laureate Fellows, ten ARC Future Fellows and fourteen DECRA Fellows.

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 welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.
We recognise that reconciliation is central to our purpose. For more information, please visit our Reconciliation page.

Join Us!
To apply for this role, please submit your application via MathJobs –

Applications not submitted via MathJobs will not be considered.

If you feel this role is right for you, please submit your application including a brief cover letter, your resume and your responses against the selection criteria

^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to

^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to

If you have any questions regarding the recruitment process, please feel free to contact Ana Gencic via email at, 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.

Position Description

Applicant log in

Work type