FREE Virtual Study Fair | 1 - 2 March | REGISTER NOW FREE Virtual Study Fair | 1 - 2 March | REGISTER NOW

New mathematical approaches to learn the equations of life from noisy data

   Mathematical Sciences School

   Applications accepted all year round  Funded PhD Project (Students Worldwide)

About the Project

My research group is recruiting a PhD student who will work on a project aimed at producing new mathematical models and new mathematical analysis of cell migration in tissue development. This project will involve collaboration with Professor Ruth Baker at the University of Oxford. Funding is provided through an Australian Research Council Discovery Project grant.

New mathematical models and mathematical modelling methods must be continually developed to interpret emerging biotechnology experiments. Contemporary research in tissue engineering involves growing tissues on 3d-printed scaffolds to mimic constrained in vivo geometries. Previous mathematical models of tissue growth focus on computationally expensive discrete mathematical models that are poorly suited for parameter inference and experimental design. This project will deliver and deploy high-fidelity, computationally efficient moving boundary continuum mathematical models that will: (i) predict/interpret new experiments; (ii) provide quantitative insight into biological mechanisms; and (iii) enable reproducible experimental design. Project will involve working with discrete cell-based models, continuum partial differential equation-based models including moving boundary conditions, connecting these models with experimental data using equation learning methods, and using these parameterised mathematical models to explore optimal experimental designs.

The successful applicants will be based in the School of Mathematical Sciences at QUT, and join my research group who are working on projects in mathematical biology.

Applications: Applicants should hold a first-class Honours degree or equivalent (e.g. Master of Philosophy degree) in applied mathematics, physics, engineering or related discipline. Strong academic performance, excellent written and spoken communication skills, and expertise in computational techniques (e.g. Julia, C++, FORTRAN) are essential.

The applicant must be eligible to enrol in a PhD at QUT. The stipend, AU$30,000 in 2023, is tax exempt for full-time students, and will support living costs for up to three years. International students will receive an accompanying QUT Higher Degree Research Tuition Fee Sponsorship.

Contact: For further information please contact Professor Matthew Simpson via e-mail or twitter @profmjsimpson

Email Now

Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.

PhD saved successfully
View saved PhDs