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James Osborne

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PhD in Mathematical Modelling of Biofilm Development University of Melbourne in Australia

Degree Level

PhD

Field of study

Biophysics

Funding

Funded PhD Project (Students Worldwide)

Deadline

Apr 30, 2026

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Country

Australia

University

University of Melbourne

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Where to contact

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Keywords

Biophysics
Biology
Mathematics
Statistical Inference
Open Science
Engineering Mathematics
Mathematical Biology
Microfluidic
Computational Modelling
Statistics
Physics
Applied Mathematic

About this position

This PhD opportunity in Mathematical Modelling of Biofilm Development is offered by the Melbourne Mathematical Biology Group at the University of Melbourne, School of Mathematics & Statistics. The project investigates the complex interfaces within biofilms—communities of microorganisms adhering to surfaces and embedded in a self-produced matrix. These interfaces, specifically the cell-substrate (attachment) and cell-media (nutrient exchange and spread), are crucial for understanding biofilm growth and management in medicine and industry.

The research combines high-fidelity multicellular mathematical modelling with microfluidic experiments to explore the mechanisms of biofilm growth and structural evolution. Depending on the candidate’s interests, the project may involve developing 3D multicellular simulations, extending mathematical models to describe mechanical and chemical interactions, investigating environmental interactions, calibrating models with experimental data from microfluidic biofilm growth experiments (in collaboration with Dr Yohan Davit, CNRS Toulouse), and contributing to open-source computational frameworks.

Applicants should demonstrate academic excellence with a First-class (H1 or equivalent) bachelor’s or master’s degree in applied mathematics, physics, or engineering, and a strong interest in mathematical modelling. Essential skills include statistical proficiency (e.g., Bayesian techniques), computational aptitude (programming and simulation experience), and an interest in biofilm development and microbial communities. Candidates must be ready to work within a multidisciplinary team and translate complex experimental data into rigorous mathematical frameworks. Proof of English proficiency is required for candidates from countries where English is not the single official language, meeting the University’s minimum requirements.

The successful candidate will receive a full stipend (approx. $39,500 pa), tuition fees covered, single health cover for international students, a relocation allowance ($2000 domestic, $3000 international), and funds for travel to conferences, workshops, and visits to collaborators. The project includes funded travel to Toulouse, France, to work directly with experimental collaborators. The PhD candidate will be based at the Parkville Campus and supervised by Prof James Osborne (Principal Supervisor), Prof Jennifer Flegg, Dr Stuart Johnston (Melbourne), Dr Yohan Davit (CNRS, Toulouse), and Dr Sakia Freytag (WEHI, Melbourne). This research forms part of a larger Australian Research Council Discovery Project entitled “Bridging biological boundaries: modelling to explore the role of interfaces.”

Applications are open to candidates of any nationality and will be assessed on an ongoing basis until April 30, 2026. To apply, email Prof James Osborne ([email protected]) with a cover letter addressing the selection criteria, formal academic transcripts, and a brief CV in a single Word or PDF file. Qualified candidates will be invited for further discussions via Zoom. Ideally, the candidate would start in the second half of 2026.

This position offers international mobility, career development in a multidisciplinary team, and the opportunity to make a real-world impact in health, manufacturing, and food production. Join a vibrant research group at the intersection of mathematics, statistics, and biology, and contribute to innovations in biofilm management and modelling.

Funding details

Funded PhD Project (Students Worldwide)

What's required

Applicants must have a First-class (H1 or equivalent) bachelor’s or master’s degree from a high-ranking university in applied mathematics, physics, or engineering with a specific interest in mathematical modelling. Understanding of statistical inference (e.g., Bayesian techniques) and experience in programming and computational simulations are required. Interest in biofilm development and readiness to work in a multidisciplinary team are essential. Proof of English proficiency is required for candidates from countries where English is not the single official language, meeting the University of Melbourne's minimum requirements.

How to apply

Email Prof James Osborne ([email protected]) with a cover letter addressing the selection criteria, formal academic transcripts, and a brief CV in a single Word or PDF file. Applications are assessed on an ongoing basis until April 30, 2026. Qualified candidates will be invited for further discussions via Zoom.

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