75 information-security "https:" "https:" "https:" "https:" "The University of Manchester" PhD positions at Monash University
Sort by
Refine Your Search
-
- and many-body physics in scenarios ranging from superfluids to quantum impurity problems to light-matter coupled systems. A large part of my work is carried out within the Australian Centre
-
electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our theoretical understanding of gravity and the most extreme regions of the Universe. I am a member of the
-
I supervise a wide range of projects in gravitational-wave astronomy. This work is carried out within the Centre of Excellence for Gravitational-wave Discovery: OzGrav. As a member of my team, you
-
I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental
-
My area of expertise is condensed matter theory. I am interested in the interplay between interactions and unconventional electronic properties of novel materials including graphene, topological
-
telescopes (high-resolution spectroscopy) and space-based telescopes (asteroseismology). The uniting theme of these research projects is to expand our understanding of stars with masses similar to the Sun
-
stipend, at the current value of $37,145 per annum 2026 full-time rate. The stipend rate is indexed annually and published on the Monash University Graduate Research Stipend and Allowance Rates website
-
Understanding factors related to student retention and experience in physics and astrophysics major units. Using quantitative (surveys) and qualitative data (interviews with students) this project
-
The goal of my research is to synthesize and characterize low-dimensional nanomaterials with atomic-scale precision and tailored electronic, optoelectronic, magnetic and chemical properties. In my
-
measurements in particle physics. Many of my projects are informed directly by current measurements, e.g. addressing new or unexpected features seen in the data. Others focus on improving the formal accuracy