This project aims to develop a Python package to post-process 3-D hydrodynamics simulations (e.g., from RAMSES or Quokka) to create synthetic observations for JWST/HST/VLT.

Optical instrumentation prototyping could be made significantly faster and cheaper with the availability of on-demand, customisable opto-mechanical components.

In this project the student will investigate the feasibility of a 3D printed deformable mirror with an embedded water-cooling system, and its expected performance under extreme heat conditions based on the selected material and actuator configuration.

This project will use observations of star clusters with the Hubble Space Telescope to disentangle the multi scale nature of star formation in local spiral galaxies.

A resolved star formation study of galaxies using TYPHOON

The student will upgrade an existing seismic classifier using modern machine learning techniques and expanded training sets.

In this project we will use data-driven methods to obtain a large abundance census of dwarf galaxies using low-quality data previously not tapped into, to learn how galaxy properties connect to abundance distributions.

Obtaining a good understanding of the physics of star formation remains one of the main problems in astrophysics today. The formation of stars determines the structure, evolution and luminosity of galaxies, and quite possibly contributed to the reionisation of the early Universe.

A student undertaking this project will review the existing methods, and assess their suitability in MAVIS, including implementation and testing of a method to actively cancel telescope vibrations with the adaptive optics control loop.

The AITC requires a generalised adaptive optics (AO) test bench in order to test experimental and research AO designs and technologies, as well as to verify AO instrumentation. The test bench will be built using in house optical components and be driven by software written in Python.

This project is to apply and develop software to integral field spectroscopic data of galaxies.

Ambitious students will investigate optimal ways to measure the stellar properties (eg Teff, age, mass) and chemical composition of this immense amount of data.

In this project you will use existing and new data to understand the nature of filamentary structure in galaxies and how they relate to magnetic fields.

This project aims to determine what source is dominating in massive galaxies 4 Gyrs ago using MAGPI (MUSE), EMU (ASKAP) surveys and eROSITA public data.

This project aims to model performance of the MAVIS instrument on real galaxies samples drawn from available Hubble Space Telescope and James Webb Space Telescope imaging catalogues.