Enhancing forecasting flood inundation mapping through data assimilation

Flooding is major risk for lives and livelihoods around the world. In Europe alone, the annual cost due to flood damageis expected to rise to 100 billion EUR by the year 2080, due to a combination of climate change and socio-economic growth. Timely flood inundation forecasts allow pro-active flood management, mitigating against loss of life and damage to key infrastructure. The goal of this PhD project is to investigate new mathematical methods using observations of floods to verify and improve flood inundation forecasts.

The project is funded through the NERC SCENARIO Doctoral Training Partnership with CASE sponsorship from JBA. More information about the project can be found here: https://research.reading.ac.uk/scenario/wp-content/uploads/sites/121/2019/11/SC2020_18_DANCE_advert.pdf

Application deadline: 24 January 2020
Main Interview Date: 12 February 2020

Funding: Our studentships cover both fees and stipend – a tax-free maintenance grant which was £15,007 per year in 2019-20. Funding for PhD studentships from NERC is only available to successful candidates who meet the eligibility criteria set out in the UK Research and Innovation (UKRI) harmonized training terms and conditions. More information is available on our website.

Academic Eligibility: 1st or upper 2nd class degree is required in a subject appropriate to the PhD projects applied for (see the project description for more info). Candidates with a lower class of Bachelors degree, but a good performance at the Masters level (“merit” or above) will also be considered.

Further information : For more information or to apply see https://research.reading.ac.uk/scenario/apply/