Details about Intelligent Materials Health Monitoring PhD Scholarship at University of Sheffield 2025
Intelligent Materials Health Monitoring PhD Scholarship at University of Sheffield 2025 is offered for PhD degree in the field of Chemical Engineering, Materials Science, Computer Science, or Physics. You can apply to this scholarship here. The deadline for the sending your application is 10 Apr, 2025. This scholarship is provided by University of Sheffield and the value of this scholarship is Full Funding, covers fees + a tax-free stipend . This scholarship is open for: Open to the citizens of UK.
- Degree: PhD
- Provided by: University of Sheffield
- Deadline: 10 Apr, 2025
- Scholarship value: Full Funding, covers fees + a tax-free stipend
Intelligent Materials Health Monitoring PhD Scholarship
- The Intelligent Materials Health Monitoring PhD project focuses on the development of an AI-driven system for assessing the long-term stability of Metal Halide Perovskite (MHP) solar cells.
- This project combines machine learning and photoluminescence mapping to monitor degradation and predict the health of MHPs, aiming to improve their commercial viability for net-zero energy goals.
Eligibility
- The Intelligent Materials Health Monitoring PhD project is open to UK students with a strong background in fields such as Chemical Engineering, Materials Science, Computer Science, or Physics.
- Applicants should possess relevant skills in machine learning, data analysis, and materials characterization, and a keen interest in advancing sustainable energy technologies.
Application Process
- Applications for the Intelligent Materials Health Monitoring PhD project must be submitted through the University of Sheffield's Postgraduate Application Portal by 16 May 2025.
- Candidates must select the Doctoral Training Course under Developing National Capability for Materials 4.0 to complete their application.
Benefits/Value
- This fully funded PhD project, part of the EPSRC CDT in Materials 4.0, covers tuition fees, a tax-free stipend of at least £19,237, and a research training support grant.
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