Research Projects

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.DAT Centre for Doctoral Training (CDT) provides a comprehensive training programme for PhD 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, particle and accelerator physics. 

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

  1. Monte Carlo and Model Definition (WP1) 
  2. Deep Learning and HPC (WP2) 
  3. Data Analysis (WP3)