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  PhD Studentship: Transforming the Analysis of X-ray Spectroscopy with Machine Learning


   School of Natural and Environmental Sciences

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  Prof Thomas Penfold  No more applications being accepted  Funded PhD Project (UK Students Only)

About the Project

Number of awards:

1

Start date and duration:

October 2021 for 3.5 years.

Overview:

A modern revolution is underway in X-ray absorption spectroscopy (XAS), driven by the transformative effect of next-generation, high-brilliance light sources e.g. Diamond Light Source and the European X-ray Free Electron Laser. It is now possible for XAS to deliver highly detailed information about the local geometric and electronic structure of matter in a broad range of different environments and under challenging operating conditions, e.g. in operando measurements of batteries and femtosecond time-resolved studies. Experiments considered impossible only a few years ago are on course to becoming routine. This brings into focus a new challenge: How do we efficiently and accurately analyse these data to ensure that valuable quantitative information encoded in each spectrum can be extracted. This PhD will develop, apply and disseminate an easy-to-use, computationally inexpensive, and accessible tool for the fast and automated analysis and prediction of XAS spectra using deep neural networks (DNNs). Using the DNNs, it will be possible to reduce the time taken to predict and interpret experiment data from hours/days to seconds, transforming the analysis of XAS data.

Sponsor:

Leverhulme Trust

Name of supervisor(s): Tom Penfold

Eligibility Criteria:

Applicants are expected to have a first degree in Chemistry, Physics or Computing Science and an interest in coding.

The award is available to home applicants only.

How to apply:

You must apply through the University’s online postgraduate application system.

You will need to:

  • Insert the programme code 8100F in the programme of study section
  • Select ‘PhD Chemistry – Chemistry’ as the programme of study
  • Insert the studentship code NES038 in the studentship/partnership reference field
  • attach a covering letter and CV. The covering letter must state the title of the studentship, quote reference code NES038 and state how your interests and experience relate to the project
  • Attach degree transcripts and certificates and, if English is not your first language, a copy of your English language qualifications
  • You should also send your covering letter and CV to Dr Tom Penfold.

Contact:

Informal enquiries can be made to Tom Penfold ([Email Address Removed])


Funding Notes

100% of home tuition fees paid and annual living expenses of £15,285.