PhD Researcher in Compound Semiconductor Analysis

2 weeks ago


Teddington, Greater London, United Kingdom NPL Full time

Project Overview

The National Physical Laboratory (NPL) and Swansea University are collaborating on a PhD project focused on developing innovative tools for analyzing semiconductor wafers and devices. This project aims to create new methods for inspecting wafers more effectively, using machine learning to identify critical defects in the latest semiconductor materials like SiC, GaN, and β-Ga2O3.

Research Objectives

  • To develop machine learning algorithms for identifying defects in semiconductor materials
  • To create new tools for inspecting wafers and devices
  • To collaborate with industry partners to ensure the practical application of research findings

About the Project

This PhD project is funded by an iCASE award to NPL and will be based at NPL's Teddington laboratories near London. The project is critical as low production yields lead to wastage and slow market growth. The successful candidate will have the opportunity to work with a team of experts in the field and contribute to the development of new technologies.

Requirements

The ideal candidate will have a strong background in materials science or a related field and experience with machine learning algorithms. A good understanding of semiconductor materials and their applications is also essential.



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