Internet of Things (IoT), Artificial Intelligence (AI), and Climate Change

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 Professor Thakker’s research group at the University of Hull in two crucial climate resilience areas – Air quality monitoring, and Flood Monitoring. As part of a growing 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.

Eligibility and entry requirements

Applicants should have a minimum 2:1 degree in related subject either in Computer Science, Mathematics, or Environmental Science. A taught MSc or Masters by Research in a relevant subject or relevant laboratory experience would be an advantage.

How to apply

https://www.hull.ac.uk/study/postgraduate/research/computer-science-research-degrees IMPORTANT – Please include the project title and proposed supervisor in your application.