Multiscale Characterisation of Coatings for Advanced Thermal Model Validation
Interview date: Thursday 22nd May 2025
Advanced coatings are critical accurate temperature monitoring and validation in high-temperature industrial environments, including power generation, aerospace, nuclear energy, and advanced energy systems. These coatings undergo changes when exposed to specific temperature ranges, providing cost-effective, and representative temperature mapping. However, the accuracy, durability, and long-term usability of this measurement technique requires further refinement to meet the increasingly stringent demands of modern industrial applications.
This PhD project aims to systematically study the fundamental mechanisms governing the performance and degradation of these coatings through a combination of multiscale experimental characterisation, thermodynamic modelling, and data-driven approaches. The ultimate goal is to develop a validated framework for improving coating efficiency, accuracy, and stability – supporting the next generation of high-temperature monitoring solutions.
The project is conducted in close collaboration with industrial partners, ensuring real-world impact and direct industrial application of the findings. The candidate will work at the University of Lincoln’s state-of-the-art research facilities and engage with industrial partners, applying research outcomes to improve efficiency, performance, and sustainability in high-temperature processes.
Why Apply?
- Cutting-Edge Research – Gain expertise in advanced materials characterisation, computational modelling, and machine learning for industrial applications
- Industry Collaboration – Work closely with industrial partners, translating research findings into real-world applications.
- Impactful Research – Contribute to sustainability and efficiency improvements in power generation, aerospace, and nuclear energy sectors.
- Fully Funded PhD – Includes tuition fees, a competitive stipend, and access to state-of-the-art research facilities.
- Career Development – Opportunities for conference participation, networking with industry leaders, and potential placements with industrial partners.
Who Should Apply?
We are seeking a highly motivated PhD candidate with:
- A strong background in Materials Science, Chemistry, Physics, or Engineering.
Experience with analytical techniques such as XRD, SEM, Raman, TEM, or thermal analysis. - Interest in industrial applications and sustainability.
Strong analytical, problem-solving, and computational modelling skills. - Previous experience in thermodynamic modelling, AI/machine learning applications, or industrial materials processing is an advantage but not essential.
To apply for this project, visit our Apply Now page.