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.
Observational Cosmology has entered an epoch where discovery necessitates the development of advanced analysis methodology, high-precision instrumentation, and collaborative work in worldwide interdisciplinary collaborations.
Driven by imaging surveys like the Rubin Observatory/LSST, Euclid and Roman modern cosmology is beginning to unveil the nature of Dark Energy and the mysteries of the Dark Sector of the Universe. The next few years will revolutionize our understanding of the Universe and the formation of structure or even generalize Einstein's theory of General Relativity. Developing accurate High-Performance statistical inference algorithms to reconstruct galaxy density field statistics from galaxy images is mission-critical.
You will establish scalable high-performance inference methodologies using actual data from the observationally deepest current precursor survey mission, the Hyper Suprime-Cam survey. During this project, you will contribute to analyses at the forefront of modern observational cosmology, like LSST, advancing the field into a Golden Age of Discovery.
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=/