Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
My interests span a wide range of topics in theoretical physics, including: geometric phases, topological defects in matter and radiation fields, inverse problems (scalar and vector tomography), singular optics, using electrons, atoms and light and the exploration of complex systems using...
-
I supervise projects in particle physics. My main emphasis is on phenomenology, comparison of predictions with experimental measurements. I follow developments in flavour physics: weak decays of mesons and baryons and their role as indirect probes for physics beyond the standard model. I also...
-
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...
-
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...
-
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...
-
Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much
-
field, or substantial relevant work experience Strong analytical and technical skills, including data analysis and effective use of technical methods Excellent organizational skills with the ability
-
testing approaches that can be used to verify that machine learning models are not biased. Required knowledge Software engineering, software testing, statistics, machine learning
-
catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon our groundbreaking research into the problem. Required knowledge A solid grounding in machine learning
-
Monash Silver Jubilee PhD Scholarship The Monash Silver Jubilee Scholarship (MSJS) is available to help support a graduate research student with living costs whilst studying at Monash. It is