Sir Joseph Swan Centre for Energy Research

Staff Profile

Professor Nick Wright

Turing Fellow, School of Engineering



By background, Prof Wright is an electrical engineer who has a distinguished track record of research into the application of novel materials in electronics and related technolgies.


Professor Nick Wright joined University of Newcastle in 1994. He previously completed both his undergraduate and PhD qualifications at Edinburgh University where he worked on the understanding the physics of materials under pressure.

At Newcastle, Prof. Wright has worked on a number of projects in the area of electronics and sensors.. In recent years, Prof. Wright has concentrated on using novel electronic materials to develop technology for extreme environments in collaboration with leading industrial companies (e.g. Rolls Royce, BAE Systems and others). He is currently working primarily on aerospace, subsea and manufacturing technologies.

Prof Wright has a strong interest in the use of AI and machine learning techniques - for object identification from camera images, sensor data fusion and control in challenging environments such as factories, marine and subsea and aerospace.


Nick is a member of the Emerging Technology and Materials Research group and his profile can be viewed on Google Scholar. He is a Fellow of the Turing Institute.

Research Interests

My main research interests lie in the application of novel materials to electronics and sensors with a particular interest in electronics for unusual and extreme environments. I have worked extensively on the use of emerging semiconductor materials, such as silicon carbide, as well as novel forms of data science and image analysis. I am currently developing my activities in the manufacturing/aerospace/marine/subsea sectors. I am particularly interested in combining soft materials (such as advanced polymers) with embedded electronics for applications such as image analysis, soft robotics, healthcare and consumer electronics.


Potential PhD Research Projects

  • Novel sensors for healthcare
  • Deep learning and AI for sensor data analysis
  • Silicon carbide electronics
  • Subsea electronics
  • soft robotics

The School website has more information on research degrees and funding.