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Prof G Fu, Prof D Butler
No more applications being accepted
Funded PhD Project (European/UK Students Only)
About the Project
Location: Streatham Campus, Exeter, UK
This project presents an opportunity for an outstanding candidate to pursue a PhD in the exciting field of Water Engineering. The project aims to develop an early warning and decision support tool for sewer flood management in the sewer network using the Quantitative Precipitation Forecasts (QPFs) provided by the Met Office.
This real time management tool focuses on prioritizing flood alerts to network operators. These are used to improve their proactive response to sewer flooding by extending the lead times using QPFs of different forecast horizons.
The tool will include several components: data, simulation, decision making and visualisation, which will be integrated into one interactive graphical environment. It will provide decision support on operational and capital interventions in light of having timely and reasonably accurate forecast information, with an aim to improving sewer network management performance.
This successful student will work closely with Northumbrian Water, and will have to spend a significant amount of time at Northumbrian Water and travel regularly between Exeter and Durham to gain a full appreciation of the operational and systems practicalities of Northumbrian Water sewer networks.
For informal enquiries contact Dr Guangtao Fu at [Email Address Removed]
Application criteria:
You should or expect to achieve a good (2:1 or higher) first degree in Water and Environmental Engineering, computer science, or relevant fields. An interest and/or experience in water system modelling, computer simulation or software development is desirable.
How to apply:
Visit www.exeter.ac.uk/postgraduate/money/studentships/application and complete the online web form. You will be asked to submit some personal details and upload a full CV, covering letter and details of two academic referees. Your covering letter should outline your academic interests, prior research experience and reasons for wishing to undertake this project.
You should also send a copy of your application materials directly to Dr Guantao Fu at [Email Address Removed]
For general enquiries please contact [Email Address Removed].
This project presents an opportunity for an outstanding candidate to pursue a PhD in the exciting field of Water Engineering. The project aims to develop an early warning and decision support tool for sewer flood management in the sewer network using the Quantitative Precipitation Forecasts (QPFs) provided by the Met Office.
This real time management tool focuses on prioritizing flood alerts to network operators. These are used to improve their proactive response to sewer flooding by extending the lead times using QPFs of different forecast horizons.
The tool will include several components: data, simulation, decision making and visualisation, which will be integrated into one interactive graphical environment. It will provide decision support on operational and capital interventions in light of having timely and reasonably accurate forecast information, with an aim to improving sewer network management performance.
This successful student will work closely with Northumbrian Water, and will have to spend a significant amount of time at Northumbrian Water and travel regularly between Exeter and Durham to gain a full appreciation of the operational and systems practicalities of Northumbrian Water sewer networks.
For informal enquiries contact Dr Guangtao Fu at [Email Address Removed]
Application criteria:
You should or expect to achieve a good (2:1 or higher) first degree in Water and Environmental Engineering, computer science, or relevant fields. An interest and/or experience in water system modelling, computer simulation or software development is desirable.
How to apply:
Visit www.exeter.ac.uk/postgraduate/money/studentships/application and complete the online web form. You will be asked to submit some personal details and upload a full CV, covering letter and details of two academic referees. Your covering letter should outline your academic interests, prior research experience and reasons for wishing to undertake this project.
You should also send a copy of your application materials directly to Dr Guantao Fu at [Email Address Removed]
For general enquiries please contact [Email Address Removed].
Funding Notes
Four-year studentship: Tuition fees (UK/EU) and a a tax free enhanced stipend of £19,000 per year in the first two years and £20,000 per year in the last two years.
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