About the project
The goal of this project is to create a predictive sensing methodology, leveraging AI-driven analytics to provide detailed temporal and spatial flow characteristics.
Novel sensors play a crucial role in advancing measurement techniques, providing high-precision data that enhances our understanding of system dynamics. Accurate fluid flow and temperature measurement is important because it helps us understand how fluids behave under different conditions, allowing for the design of more efficient and reliable systems.
As part of the Doctoral Centre for Advanced Electrical Power Engineering, you will engage in a variety of tasks, from hands-on work in the lab and designing sensors to developing models and methods, all while learning and applying artificial intelligence (AI) tools. At the School of Electronics and Computer Science, we are at the forefront of AI and sensing technology, providing you with plenty of support and guidance throughout your research journey.
We offer you:
- potential for research commercialisation
- participate in public activities to showcase your impactful work in reducing transportation emissions
- collaboration with leading aerospace and marine companies
- access to advanced labs and equipment
- interdisciplinary work with top researchers
- training in machine learning, advanced experimental and computational methods
- supportive mentorship and research environment
- opportunities to present at global conferences and publish in top journals
