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Research projects

The Centre is focussed on addressing the data challenges presented by research in astronomy, nuclear, theoretical, particle and accelerator physics.

Managing, analysing and interpreting large, complex datasets and high rates of data flow is a growing challenge for many areas of science and industry. Recent years have witnessed a dramatic increase of data in many fields of science and engineering, due to the advancement of sensors, mobile devices, biotechnology, digital communication, and internet applications.

LIV.INNO provides a comprehensive training programme to three cohorts of students in data intensive science to address this problem. The focus of the centre will be on addressing the data challenges presented by research in astronomy, nuclear, theoretical, particle and accelerator physics.

Research and development (R&D) is structured across three main Work Packages (WP):

  1. Monte Carlo and high performance computing (WP1) 
  2. Artificial intelligence and machine learning (WP2) 
  3. Data analysis (WP3) 

Back to: Centre for Doctoral Training for Innovation in Data Intensive Science