Developing a novel non-destructive approach to real-time sense the early-age fatigue damage in railway track foundations using smart materials, electrical modelling, intelligent sensing technologies and laboratory testing.

Research outline:

Rail transport plays a critical role in passenger travel and freight in the UK. The UK rail infrastructure and networks are facing many challenges due to climate change and increased requirements for safety, durability, resilience and sustainability. Real-time non-destructive inspection of early-age fatigue damage in railway track foundations is necessary to reduce the requirement/cost of maintenance and facilitate the achievement of net zero railways. The aim of this PhD project is to develop a novel non-destructive approach to real-time sense the early-age fatigue damage in railway track foundations using smart materials, electrical modelling, intelligent sensing technologies and laboratory testing.

*This opportunity is open to home and international applicants*

Required experience and skills:

·        A master’s degree in a relevant discipline such as Control Science and Engineering, Automation, or a related field;

·        Knowledge of mathematical modelling, microcomputer and artificial intelligence (AI);

·        Simulation and/or experimental experience in circuit design and analyses, the electric-field coupled power transfer (ECPT) technology;

·        Experience with writing scientific publications in electrical engineering or related fields;

·        Communication and teamwork skills.

Additional information for international applicants:

·        IELTS would be required (6.5 minimum, 5.5 in each component).

·        58-64 (minimum 51 in each component for UKVI purposes).

A tax-free stipend will be provided, at which the current rate is £19,237 per annum.

Please note: The deadline for this application is 18^th October 2024.

Commencement date: February 2025