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Radiation Detection Doctoral Network: Statistical Techniques and Machine Learning for Radiation Detection

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  • Full or part time
    Mr RB Burguete
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

About This PhD Project

Project Description

The Radiation Detection Doctoral Network ‘Radnet’ is a new collaborative doctoral training programme carrying out research and training in radiation detection and applications. The network is run by a consortium of the Universities of Surrey, Sussex and Royal Holloway, in collaboration with our industrial partners National Physical Laboratory, Kromek, Hilger Crystals, Ultra Energy and Rapiscan Systems. The network is also supported by the South East Physics Network (SEPnet)

The Radnet doctoral training network brings together PhD researchers, academics and industrial scientists and engineers to focus on collaborative research projects which are directly applicable to industrial challenges. Our 3 headline research projects for 2018 are as follows:

Project 1: Statistical Techniques and Machine Learning for Radiation Detection (Royal Holloway University of London, in collaboration with NPL and Ultra-Electronics)

The project will focus on applying techniques developed in particle physics to real-world monitoring applications such as continuous air monitors using in the nuclear industry. This project will develop a deliverable product for isotope recognition, using advanced statistical techniques and machine learning, and considering in-situ calibration of networked sensors.

A Unique Training and Research Experience

Each Radnet student will benefit from close connections between their host University and their training companies. With two industry-leading companies associated with each research project, you will have outstanding opportunities for industrial placements, cross-network training events, and access to additional researcher opportunities through the SEPnet Graduate School and the NPL Postgraduate Institute. Radnet PhD students will be uniquely equipped to carry out high quality doctoral research, and to deliver industry-relevant solutions for UK companies.

Further Information and Applications

The network is offering 3 PhD studentships, each based at one of the host Universities. Each studentship is funded for 3.5 years at ~£14k per year, and are open to both UK and EU applicants.

We invite applications from students with a first degree in Physics or Engineering and who are strong self-motivated and interested in industrially-relevant doctoral research.

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