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Robust Derivative-Free Algorithms for Complex Optimisation Problems. Mathematical optimisation gives a systematic way for optimal decision-making. This project aims to develop new mathematical tools f

The University of Sydney — Discovery Early Career Researcher Award
Amount
Up to $514,228
Closes
Sunday 28 February 2027
Status
unknown
Type
open opportunity
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Description

Robust Derivative-Free Algorithms for Complex Optimisation Problems. Mathematical optimisation gives a systematic way for optimal decision-making. This project aims to develop new mathematical tools for complex optimisation problems where limited problem information is available. It will generate new foundational theories for alternative optimisation tools, introducing substantial new capability and rigour to the discipline. The project will create significant new mathematical optimisation techniques and create world-leading and publicly available software. These new techniques and software may ultimately be able to solve some of the most complex optimisation problems in research and industry, such as improving long-term climate predictions and designing 3D-printed medical implants.. Scheme: Discovery Early Career Researcher Award. Field: 4903 - Numerical and Computational Mathematics. Lead: Dr Lindon Roberts

Categories
healthregenerativeenterprisetechnology
Target Recipients
researchersuniversities

Foundations Supporting This Area

Discovery method: arc-grants
Last verified: Monday 2 March 2026
Added: Saturday 28 February 2026