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EPSRC CASE Studentship "Self-adaptive and machine learning methods for two-dimensional stochastically perturbed shallow water equations" (2019)Using numerical and statistical methods for risk assessment and forecasting of flood phenomena.

  • Full or part time
  • Application Deadline
    Saturday, August 31, 2019
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

PhD project
The computer simulation of flood phenomena, and the influence of rain patterns, including climate change induced variability, play a crucial role in the economy. The risk-assessment can help save lives and alleviate costs to citizens, businesses and governments. The complexity of flood phenomena requires simulations and statistical solutions for accurate estimation of flood risk.

The project is in collaboration with Ambiental Technical Solutions Ltd, a business specialised in flood-risk assessment providing insight to real-life situations for customers.

Further details of the project are available at

How to apply
Early application is advised because the position will be filled as soon as a suitable candidate is found.

Apply online though the Sussex University website.
Apply for the PhD in Mathematics with a start date of 23 September 2019.

In the Funding section of the online form state you are applying for this project. In the preferred supervisor section, nominate Dr Omar Lakkis.

Copies of your degree certificates and transcripts should be uploaded, and the names of two supervisors should be supplied.

Candidates will be interviewed over Skype if need be.

Contact us
Contact Dr Omar Lakkis for enquiries about the project and interviews. or

Contact the School Office for questions about the progress of your application and eligibility:

Interviews will be conducted as soon as possible after receiving applications.
The PhD will start 23 September 2019.

The first bursary payment will be made 01 October 2019.

Funding Notes

£15009 per annum tax-free bursary for 3.5 years with fees waived and an additional income provided by the partner institution.

A BSc or MSc degree at a high final grade in Mathematics, Computing, Physics or Engineering. A strong background in two of:- partial differential equations, mathematical or computational fluid dynamics, numerical methods & analysis, random processes, machine learning, scientific programming.

Applicants must be a UK national, or EU national with at least 3 years residency in the UK. Please note this award is not open to students outside the UK or EU. This is a funder requirement.

How good is research at University of Sussex in Mathematical Sciences?

FTE Category A staff submitted: 20.00

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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