Climate science has progressed tremendously in the last several decades with the advancements in tools for measuring our Earth’s past and present climate and predicting the future. The improvements in the climate models and enhancement in the computing resource have generated a huge amount of information (data), which unless analysed intelligently, are meaningless. Artificial intelligence (AI), Machine learning and recently Deep Learning with Internet of Things (IoT)-based sensing and data collection, provides an opportunity to handle this big and complex datasets in a coherent manner. However, the full potential of AI technologies is under-explored and under-utilised in the climate science and applications.
This project will build on the world class AI and IoT research conducted by Dr Thakker’s IoT Innovation Lab at University of Bradford in two crucial climate resilience areas – Air quality monitoring, and Flood Monitoring. As part of Dr Thakker’s research group, you will be working with a consortium of researchers across the world to develop new AI techniques to improve air quality monitoring, and flood monitoring.