Postdoc on integrating genomic and epidemiological outbreak modelling
We are seeking a Research Fellow to join a multi-disciplinary infectious disease modelling team at the forefront of COVID-19 outbreak modelling in Australia. The role will be based at The University of Melbourne's Faculty of Veterinary and Agricultural Sciences and the Peter Doherty Institute for Infection and Immunity, and link directly with public health laboratories and epidemiologists in the State Health Department.
This position is re-advertised now for applicants from outside Australia. Professional support is available as part of the recruitment package to assist with obtaining an appropriate visa.
This is a fantastic opportunity to contribute to research by Australia’s leading University and its partners into the COVID-19 outbreak that continues to guide the public health response. The role is part of an ARC-funded research project aiming to provide public and animal health, environmental and economic benefits by improving how outbreaks of infectious diseases of international concern are modelled, understood and controlled. The Research Fellow will be responsible for developing dynamic outbreak models integrating epidemiological and genomic data that will provide new insights into the processes driving transmission. The research will be undertaken in partnership with agencies responsible for public and animal health, the findings will inform outbreak response decisions, leading to more effective control.
The Position will be located at the University of Melbourne’s Parkville Campus. The Campus is part of a Biomedical Research Precent in Melbourne, Victoria, Australia - a vibrant research community consisting of numerous internationally prominent research institutes, hospitals and biomedical companies, including the Doherty Institute and Royal Melbourne Hospital. With exceptional infrastructure, the University promotes world-class collaborative research in the Life Sciences and Biomedicine.
What we are looking for from you:
You will hold an advanced degree (PhD or equivalent) in the field on mathematics and statistics, or epidemiology, applied to modelling complex biological systems and have 2-5 years’ experience in phylogenetic/phylodynamic modelling along with the ability to code Bayesian statistical algorithms in a software programming language that interfaces well with R. As an experienced scientific researcher, you will hold a record of high-quality peer reviewed publications and scientific presentations, demonstrated ability to engage industry audiences and collaborators in the research outputs to ensure the broad uptake and impact of the research. The ability to work with and within a multidisciplinary team, with excellent communication and interpersonal skills will be required along with excellent problem-solving, time allocation and accurate record keeping abilities.
What we can offer you:
- Starting salary from AUD $95,179 pa (PhD requisite commencement salary) + 17% superannuation (pension)
- Professional assistance with applying for an appropriate visa to work in Australia
- An attractive relocation package for yourself and your immediate family from your primary place of residence to Melbourne, Australia with the assistance from professional relocation specialists
- A uniquely diverse role with the opportunity to expand your research
- A great, cohesive and supportive team, working in state-of-the-art facilities under the supervision of a team of researchers
- Attractive leave entitlements that include annual leave, personal leave, carers leave, purchased leave, parental leave of 14-24 weeks full pay (following a qualifying period), and Public (Bank) holidays
- Salary packaging, including health insurance and novated lease (vehicle) arrangements
- Fee discounts for study at the University of Melbourne for self and immediate family
How to apply:
Full position description and link for applications available here:
- The University of Melbourne
- Closing date
- October 24th, 2021
- Posted on
- September 16th, 2021 07:35
- Last updated
- September 16th, 2021 07:45