Research Fellow in Computational Bayesian Statistics

**Job no**: 0042510
**Location**:Parkville
**Role type**:Full-time (Fixed-term for 3 years)
**Faculty**:Faculty of Science
**Department/School**:School of Mathematics and Statistics
**Salary**: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.
**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 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**
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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.

**Aboriginal and Torres Strait Islander Applicants**
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**Join Us**

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