
Research Associate in Computational Statistics
- Bedford Park, SA
- $86,423-104,734 per year
- Permanent
- Part-time
- Fixed Term until December 2026| Part-Time at 0.4FTE
- Academic Level A | $86,423 - $104,734 p.a.
- Location: Bedford Park / Kaurna Country
is seeking a Research Associate in Computational Statistics to undertake research on the modelling and analysis of biofouling processes in marine environments.This role will focus on developing and applying Bayesian statistical models to investigate and predict biofouling patterns to enhance our understanding of how environmental factors and antifouling technologies influence biofilm development. The project is a collaboration between Flinders University, the Defence Science and Technology Group, the University of South Australia, Queensland University of Technology and Australian Naval Infrastructure, funded by Defence Innovation Partnerships.The Research Associate will:
- Apply advanced statistical methods, including time series and Bayesian modelling, to analyse biofouling data and generate new insights.
- Lead and contribute to project planning, research design, and delivery of project milestones in collaboration with the research team and industry partners.
- Produce high-quality research outputs, including publications, grant applications, and conference presentations.
You are a skilled and motivated researcher with expertise in computational and applied statistics. With a strong research track history, your well-developed technical and analytical skills will elevate the quality of research undertaken. You will be capable of working independently and in a team, as well as using your initiative to manage multiple projects and prioritise workloads.As the successful candidate, you will also demonstrate:
- Completion of minimum 4 years of tertiary study and preferably a PhD (or significant progress towards a PhD) in Statistics or a related discipline, with expertise in applied/computational statistics.
- Proficiency in statistical programming languages such as R and Python, and experience with Bayesian modelling and time series analysis.
- A track record of research outputs, including publications or presentations at national or international conferences.
- 17% Superannuation + salary packaging options
- Flexible working arrangements
- Wide range of professional development activities, including Researcher Leadership Development Programs.
- We embrace diversity and promote equity and inclusion for all students and staff
- Vibrant campus life and amenities including on campus
- A valid National Police Certificate which is satisfactory to the University will also be required before the successful applicant can commence in this position.
- You are required to submit Suitability Statement of no more than 3 pages, addressing the four Key Position Capabilities of the
- Completion of minimum 4 years of tertiary study and preferably a PhD (or significant progress towards a PhD) in Statistics or a related discipline, with expertise in applied/computational statistics.
- Demonstrated ability using statistical programming languages such as R and Python, or equivalent.
- Ability to apply, adapt and/or develop analytical methods for the study of time series and Bayesian modelling.
- Demonstrated experience in statistical methodologies and applied/computational statistics.
- For more information regarding this position, we strongly encourage you to contact
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