The UNSW Scientia PhD Scholarship Scheme is part of UNSW's dedication to harnessing cutting-edge research to solve complex problems and improve the lives of people in local and global communities.
Scientia scholars will have a strong commitment to making a difference in the world with demonstrated potential for contributing to the social engagement and/or global impact pillars of the UNSW 2025 Strategy. The Scientia Scheme is targeted, in that applicants will apply to a specific research area with an identified supervisory team and application is by nomination.
- Work on high quality research projects with the best supervisory teams in world class environments
- $40K a year stipend for four years
- Tuition fees covered for the full 4 year period
- Coaching and mentoring will form a critical part of your highly personalised leadership development plan
- Up to $10k each year to build your career and support your international research collaborations
- At least 5 of these scholarships will be reserved for Indigenous research candidates.
There are nine strategic research areas supported by the Scheme with a wide range of projects.
The School of Mathematics and Statistics has several Scientia Scholarship opportunities on offer. See these projects below - School staff member's names are in bold.
Browse through the links below to discover the project for you, and then when you have found the project and team you would like to work with, click apply and you will be able to express your interest with the primary supervisor. If you and the supervisory team match up well, the team will nominate you and you will be invited to submit a full application for consideration.
Mathematical Biophysics: Single Molecule Fluorescence and Protein-Protein Binding (Adelle Coster, Bruce Henry & Peter Gunning)
Quantifying Global Water Cycle Change using Ocean Observations (Jan Zika, Trevor McDougall, John Church)
De-Risking Analysis and Design for Structures and Infrastructures (Guoyin Li, Wei Gao, Gangadhara Prusty)
Number Theory and Arithmetic Dynamics (Igor Shparlinski, Alina Ostafe, John Roberts)
Changes in Ocean Ventilation: Deconvolutions of Hydrographies and High-Resolution Modelling (Mark Holzer, Darryn Waugh, Matthew England)
Developing Flexible Latent Variable Methods for Panel Data (Scott Sisson, Robert Kohn, Denzil Fiebig)
Smart Mobility Methodologies for Optimizing Transport Networks (Gary Froyland, Steven Waller, Lauren Gardner)
Using Big Data to Redesign the Health System (Peter Straka, Louisa Jorm)