Offer Description

Role type: Full-time; Fixed-term (2 years)

Faculty: Science

School: School of Mathematics and Statistics

Salary: Level A: AUD $87,266 - $118,416 p.a. plus 17% super

- ARC-funded collaboration across three universities / develop cutting-edge stochastic multiscale models for biology and ecology / supportive entry-level role with strong mentoring
- Join our multidisciplinary team to shape new mathematical tools for biology and accelerate your research career.
- Investing in you - 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.

The University of Melbourne

We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research.

Your next career opportunity

In this Research Fellow role, you will develop stochastic multiscale models for interacting biological populations.

You will deepen your expertise in mathematical modelling and Bayesian inference while learning from three collaborating chief investigators.

You will also build your publication record and professional networks through seminars, conferences and industry engagement.

What you will deliver:

- Develop and analyse stochastic multiscale models for interacting populations across individual and higher biological scales.
- Conduct high-quality research leading to publications in leading journals and presentations at seminars and conferences.
- Integrate diverse modelling approaches over time, moving from single-scale frameworks to fully coupled multiscale systems.
- Contribute to research proposals, reporting obligations and administrative tasks associated with the ARC Discovery Project.
- Support supervision, mentoring and coordination of students, helping them engage with project methods and timelines.

You may be a great fit if you:
- Hold or are near completing a PhD in applied mathematics, applied probability, theoretical physics or related fields.
- Demonstrate experience in mathematical modelling, stochastic processes, Bayesian statistical inference and multiscale modelling.
- Produce research outputs, including journal articles and reports,



that show clear potential for an academic career.
- Communicate clearly in written and spoken English, with or without reasonable adjustments or assistive technologies.
- Coordinate complex tasks, manage time effectively and keep projects on track across multiple collaborators and institutions.
- Collaborate positively in multidisciplinary teams and engage constructively with industry, skilled and community stakeholders.

For further information please refer to the attached PD.

What we offer you!

We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including:

- Build future financial security with 17% superannuation
- Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
- Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning
- Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leave
- Salary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company
- Health and well-being services including a leading Employee Assistance Program

Your new team - School of Mathematics and Statistics

The School of Mathematics and Statistics is one of Australia's leading centres for research and teaching in the mathematical sciences. You will join a collegial, research-active community with strong international collaborations and outstanding success in competitive grants. Embedded within the Faculty of Science, you will benefit from cross-disciplinary partnerships,



access to world-class facilities and a culture that values curiosity, inclusion and impact.

Be Yourself

The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences.

We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities.

Aboriginal and Torres Strait Islander Applicants

We aspire to be the University of choice for Indigenous Australians. Visit our to learn more about our investment and support for Aboriginal and Torres Strait Islander staff.

Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at .

Application essentials:

- Visit

to learn more about the process, including tips and FAQs. * You must have current valid work rights for Australia. Visa sponsorship is not available for this role.
- A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.
- Please upload your resume and a cover letter outlining your interest and experience as part of the application process.
- Please upload your responses to the Selection Criteria, found in the Position Description.

Want to know more?

- For queries related to this specific position, contact Jennifer Flegg (details in position description)
- For questions related to our recruitment process email Lachlan Bryce at
- For recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at

(subject: 'Recruitment Adjustments').

Apply today, and join a community that's shaping the future.

Applications close: 20 September 2026 11:55 PM; Melbourne time zone.

Position Description:

Where to apply Website

Requirements

Additional Information

Work Location(s)

Number of offers available 1 Company/Institute UNIVERSITY OF MELBOURNE Country Australia City Parkville

Contact City

Parkville

STATUS: EXPIRED

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📌 Research Fellow in Stochastic Multiscale Modelling in Biology (Parkville)
🏢 School of Mathematics and Statistics
📍 Parkville