The School of Mathematical Sciences is a leading provider of applied mathematics and statistics higher education, and excels in research across applied and computational mathematics, statistics and operations research.
Our research partnerships
We're working with you to find solutions to your problems. Reach result through a collaborative partnership with our experienced research experts who make active contributions to their fields.
Learning and teaching experience
Our award-winning academics teach our students to apply mathematics to real-world situations using sophisticated, workplace-relevant software, enabling a solid grounding for future employment in research and industry.
Our staff
- Position
- Postdoctoral Fellow
- Division / Faculty
- School of Mathematical Sciences
- Research fields
- Applied Mathematics
- Numerical and Computational Mathematics
- b.lawson@qut.edu.au
- Position
- Postdoctoral Fellow
- Division / Faculty
- School of Mathematical Sciences
- j3.sharp@qut.edu.au
- Position
- Visiting Fellow
- Division / Faculty
- School of Mathematical Sciences
- j.vercelloni@qut.edu.au
- Position
- Research Assistant
- Division / Faculty
- School of Mathematical Sciences
- Research field
- Public Health and Health Services
- robin.blythe@qut.edu.au
- Position
- Adjunct Professor
- Division / Faculty
- School of Mathematical Sciences
- Research field
- Applied Mathematics
- s.mcelwain@qut.edu.au
News and events
Blueprint for mandating indoor air quality for public buildings in form of standards
A group of international experts led by QUT Professor Lidia Morawska has presented a blueprint for national indoor quality standards for public buildings, in an article in the prestigious journal Science.
New rapid method to predict effects of conservation actions on complex ecosystems
A new way to analyse the effects of conservation actions on complex ecosystems has cut the modelling time from 108 days to six hours, QUT statisticians have found.
Deep learning enables faster, more accurate decisions on shoulder abnormalities treatment
QUT scientists have developed a deep learning framework to detect shoulder abnormalities such as fractures in X-ray images with 99 per cent accuracy to enable clinicians to make correct and speedy decisions in emergency situations.
Contact us
Contact the School of Mathematical Sciences for more information on our courses, research and staff.