Overview of the CDT
This project is being offered as part of the STFC Centre for Doctoral Training in Data Intensive Science, called NUdata, which is a collaboration between Northumbria and Newcastle Universities, STFC, and a portfolio of over 40 industrial partners, including SMEs, large/multinational companies, Government and not-for profit organisations, and international humanitarian organisations. Please visit https://research.northumbria.ac.uk/nudata/ for full information.
The Local Luminous AGN with Matched Analogs (LLAMA) is a survey of the galaxies containing the 20 brightest local growing supermassive black holes, along with 20 quiescent galaxies matched in key galaxy properties. In this project, the student will undertake the analysis of complete Hubble Space Telescope (HST) and Atacama Large Millimeter-submillimeter Array (ALMA) datasets for the LLAMA galaxies, with the aim of understanding the processes in the circumnuclear regions of galaxies that drive black hole growth. We will use high-performance computing to process these large datasets uniformly, and employ a combination of traditional and machine-learning approaches to robustly measure differences in the dust and molecular gas distributions in these galaxies. For a subset, modern JWST imaging and spectroscopy will also be used for advanced studies.
You will join a strong and supportive research team. To help better understand the aims of the CDT and to meet the PhD supervisors, we are hosting a day-long event on campus on Monday 15th January 2024. At that event, there will be an opportunity to discuss your research ideas, meet potential PhD supervisors, as well as hear from speakers from a variety of backgrounds (academia, industry, government, charity) discussing both STFC and data science as well as their personal paths and backgrounds. Travel and accommodation (if needed) will be covered, but funds are limited, so please register early. Click https://research.northumbria.ac.uk/nudata/studentships/ for details
Please list all Newcastle hosted projects you are interested in in your cover letter. You are strongly encouraged to list multiple projects, since some projects are more popular than others. You only need to submit one application even if you are interested in multiple projects (we recommend you submit your application to your first choice).
For further details of how to apply, entry requirements and the application form, see https://applyto.newcastle.ac.uk/SignIn?returnUrl=/