Fast Machine Learning R&D

    • U. Bristol (main)
    • Europe
  • hep-ex
  • physics
    • PostDoc
Deadline on May 16, 2024
Job description:
The Particle Physics group of the University of Bristol (tinyurl.com/particle-bristol) UK, seeks a Research Associate or Senior Research Associate to join its machine learning R&D team. The successful applicant will be the lead developer for ML workflows on newly released FPGA-based ML -acceleration platforms, including the Xilinx Versal series. The key objectives of this project are to gain experience with these new platforms to inform potential use cases in Particle Physics and in the public sector over the next decade. 
The Bristol Particle Physics group is active in development of AI/ML techniques for particle physics across a range of experiments and projects. In particular, we are developing real-time image classification and object detection for data selection at CMS and DUNE, and investigating the use of generative networks for fast detector simulation on LHCb.
Bristol is one of the top UK universities for AI research and scientific computing, and was recently chosen to host a new national AI-focussed supercomputer research facility.

The position is available until 30th October 2026.

Informal enquiries (not applications) can be made to Dr Sudarshan Paramesvaran, Sudarshan.Paramesvaran@bristol.ac.uk) or Dr Jim Brooke (jim.brooke@bristol.ac.uk)
Posted a year ago, updated 10 months ago