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I offer projects broadly related to supernova explosions and the final stages in the lives of massive stars. Specific topics of interest include fluid dynamics processes in stellar explosions and stellar interiors, birth properties of black holes and neutron stars, supernova light curves and...
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Conventional x-ray imaging is firmly established as an invaluable tool in medicine, security, research and manufacturing. However, conventional methods extract only a fraction of the sample information that is encoded in the x-ray wavefield as it passes through the sample. My research aims to...
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental colleauges in the School, in the Monash Centre for Electron Microscopy (MCEM) and abroad, with the goal...
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My primary areas of research activity are two fold: first, studing thermonuclear (X-ray) bursts from accreting neutron stars; and second, searches for optical counterparts of gravitational-wave events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve...
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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My research focusses on understanding stars: their evolution and chemical composition, and how they move throughout our galaxy. Most of what we know about the universe comes from starlight, but the detailed interaction between matter and light in the extreme conditions of stellar interiors is...
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I supervise a wide range of projects in surface and materials physics, with a particular focus on novel electronic materials such as topological insulators where electrons can be transported without dissipation along the edges of the material. It is hoped that these sorts of materials will one...
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Levin Kuhlmann Research area Machine Learning We are seeking a highly motivated and innovative PhD student interested in exploring the opportunities for using AI to enhance personalisation of services and
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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for a fully funded, 3.5-year PhD scholarship for commencement in 2026. The scholarship provides a stipend of $52,352 per annum tax exempt for 3.5 years along with additional support. As part of