This PhD project will explore the science of predicting environmental hazards, including volcanic ash, chemicals, and radiation. These hazardous substances pose significant risks to human health, wildlife, and infrastructure. Our project focuses on advancing the accuracy of predicting their dispersion patterns, ensuring more effective emergency response strategies. Collaborating closely with institutions such as the Met Office, this research project merges theoretical exploration with practical applications, bridging the gap between scientific inquiry and real-world safety protocols.
The primary objective of this PhD research is to pioneer innovative techniques for predicting the concentration and trajectory of hazardous substances in the atmosphere. By using advanced ensemble forecasting methods, the project aims to enhance the reliability and precision of dispersion forecasts. Special attention will be given to representing uncertainties inherent in environmental hazard predictions, providing decision-makers with more comprehensive and actionable information during emergencies.
The key objectives of the project are to:
· Develop and refine ensemble forecasting techniques tailored to environmental hazard prediction.
· Collaborate with industry to integrate real-world data and refine the accuracy of dispersion models.
· Translate complex scientific findings into practical insights for emergency response decision-makers.
· Evaluate the reliability and effectiveness of the developed forecasting methods through comprehensive analysis.
· Contribute to the development of operational dispersion ensemble prediction systems in collaboration with the Met Office.
As a PhD candidate in this project, you will be part of a research project that directly impacts public safety and emergency response strategies. Engage in cutting-edge research and collaborate with experts in the field, gaining valuable insights into real-world applications of your work. This project offers the opportunity to make a tangible difference in building the next generation of environmental hazard warning systems.
Training opportunities:
The student will visit the Met Office several times during the project to discuss the design and implementation of experiments using the Met Office Dispersion Model.
Student profile:
Applicants should hold or expect to gain a minimum of a 2:1 Bachelor Degree, Masters Degree with Merit, or equivalent, in mathematics or physics or a closely related physical or environmental science. Students should have a strong interest in high impact atmospheric dispersion events and their predictability.
This project would be best suited to a student with a strong physical sciences or mathematical background. The student will not need to have prior coding or data analysis expertise as full training and support will be given, but they should be keen to run complex weather forecast models and perform careful analysis work on the model output.
We will also consider candidates with different academic paths but with experience acquired from a research position, or equivalent, that is relevant to the topic of the PhD project.
To apply, please follow the instructions at https://research.reading.ac.uk/scenario/apply/
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