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  [STFC Studentship] Machine Learning for Real-Time Gravitational-Wave Astronomy


   Cardiff School of Physics and Astronomy

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  Prof P Sutton, Dr V Raymond, Prof Stephen Fairhurst  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Gravitational waves (GWs) are produced by some of the most violent events in the Universe, such as the mergers of black holes and the explosive deaths of massive stars. Rapid detection of such signals can trigger follow-up observations by other facilities including ground-based telescopes, satellites, and neutrino observatories, greatly increasing the scientific payoff of such discoveries.

For example, combined observations of the binary neutron star merger GW170817 revealed the origin of heavy elements in the Universe and provided a new way to measure the Hubble constant.

Detecting such GW events before the electromagnetic counterpart fades requires analysis of the gravitational-wave data on timescales of minutes or less. Recently, machine learning techniques based on Convolutional Neural Networks (CNNs) have been demonstrated to have the potential for sub-second-latency analysis of data from GW detector networks. The aim of this project is to develop and implement a CNN with the ability to detect generic transient signals, such as those expected from newly formed or perturbed black holes and neutron stars. The analysis will be run in real time during upcoming observing runs by the LIGO-Virgo-KAGRA detector network, to detect, characterise, and determine the location on the sky of GW signals. We will issue public alerts about detected events, with special emphasis on signals associated with gamma-ray bursts, core-collapse supernovae, and other relativistic astrophysical phenomena.

 Eligibility  

The typical academic requirement is a minimum of a 2:1 physics and astronomy or a relevant discipline. 

Applicants whose first language is not English are normally expected to meet the minimum University requirements (e.g. IELTS 6.5 Overall with 5.5 minimum in sub-scores) (https://www.cardiff.ac.uk/study/international/english-language-requirements) 

How to apply 

Applicants should apply to the Doctor of Philosophy in Physics and Astronomy with a start date of 1st October 2023. 

Applicants should submit an application for postgraduate study via the Cardiff University webpages (https://www.cardiff.ac.uk/study/postgraduate/research/programmes/programme/physics-and-astronomy) including: 

• your academic CV 

• Your degree certificates and transcripts to date including certified translations if these are not in English 

• a personal statement/covering letter 

• two references, at least one of which should be academic. Your references can be emailed by the referee to [Email Address Removed]  

Please note: We are do not contact referees directly for references for each applicant due to the volume of applications we receive.     

In the "Research Proposal" section of your application, please specify the project title and supervisors of this project. You can apply for up to three of our advertised STFC projects by listing them in order of preference in the free text area of the "Research Proposal" section of the online application form. 

In the funding section, please select that you will not be self-funding and write that the source of funding will be STFC. 

Once the deadline for applications has passed, we will review your application and advise you within a few weeks if you have been shortlisted for an interview. 

Computer Science (8) Mathematics (25) Physics (29)

Funding Notes

The Science and Technology Facilities Council (STFC) fully-funded scholarships cover the full cost of tuition fees, a UKRI standard stipend (£17,668 per annum for 2022/23 and expected to increase in line with inflation for 2023/24), and additional funding for training, research and conference expenses.
The scholarships are open to UK/home and international candidates.
For general enquiries regarding this funding, please contact [Email Address Removed]

References

https://arxiv.org/abs/2009.14611

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