Research Associate(s) in Deep Neural Networks for Real-Time Spectroscopic Analysis

Research Associate(s) in Deep Neural Networks for Real-Time Spectroscopic Analysis

  • Posted by Grant Holder Manager
  • On 29 April 2022
  • 0 Comments

We are looking to appoint two Research Associates in Deep Neural Networks for Real-Time Spectroscopic Analysis. Based in Chemistry at Newcastle University, you will develop and use supervised machine learning/deep learning algorithms to transform the analysis of X-ray spectroscopy by developing and using easy-to-use, computationally inexpensive, and accessible tools for the fast and automated analysis of X-ray spectroscopy. This builds upon recent proof-of-concept work we have performed, e.g. paper1 and paper2.

We would welcome requests for flexible working and depending on the needs of the role, blended working opportunities to work remotely as well as on-campus may be considered. Opportunities will be discussed should you be invited to interview.

Information about the group can be found here.

 For informal enquiries, please contact Thomas Penfold at tom.penfold@ncl.ac.uk

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