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DTC CS 12 - AI-assisted big astrophysics data analysis

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  • Full or part time
    Dr A Paiement
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

This project aims at leveraging and further developing the state-of-the-art in computer vision and machine learning to assist in the analysis of the large quantity of observational data gathered in astrophysics research. It is a computer science project, in collaboration with astrophysics experts who will be the end-users of the developed data analysis methods and tools. The PhD student will get to use methods such as deep learning, multispectral image analysis, and machine learning based predictions.

Entry requirements

Candidates must have a minimum of an upper second class honours degree or equivalent in a relevant subject, or an appropriate Master’s degree (with Merit). Informal enquiries are welcome by emailing the project supervisor.

For candidates whose first language is not English, we require IELTS 6.5 (with 6.0 in each component) or equivalent. Please visit our website for a list of acceptable English language tests. We prefer candidates to have already met the English Language requirements at the point of application, although this is not a requirement.

How to apply

Visit our webpage for details - http://www.swansea.ac.uk/science/research/dtc/biosciences-projects-2018-19/

Please include the project ID and title in your email subject header (eg. DTC CS xxxxxx)

Funding Notes

Student Finance England have announced plans to offer student loans for PhD level courses from September 2018 for courses at any PhD awarding university (including Swansea University). Full details are still to be confirmed. Visit our website for updated information. – http://www.swansea.ac.uk/postgraduate/fees-and-funding/pg-loans/



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