6 algorithm-development-"Prof"-"Prof" PhD positions at University of Surrey in United Kingdom
-
modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
-
reducing odours from pomace and digestate. The project comprises seven work packages. As a leading partner, the University of Surrey will develop a system digital twin (SDT) to enhance overall sustainability
-
due to a high Stoke’s shift, and a fast response time. In this project we will develop prototype perovskite scintillator gamma detectors fabricated from perovskite materials grown at Surrey. Perovskite
-
an understanding of the relationships between the material properties and the solubility and diffusion of gases/vapours. This project will investigate and develop methodologies for understanding the key
-
research and develop solutions for this challenge, alongside consideration of mixed contamination matrices. Mixed contamination matrices present a challenge for analysis and the project will require
-
used in other safety-critical sectors. Review international AV regulations and identify gaps in explainability and traceability. Develop a formal DCD model capable of representing AV reasoning and