About the project
This PhD project is part of ‘Pipebots’, a collaborative project between 4 UK Universities and many industrial partners. In this PhD you will identify the characteristics of key pipe defects, how they deteriorate and cause pipe failure and then use this understanding to simulate the performance of large pipe networks as localized failures occur.
You will benefit from access to world-leading experimental and computational facilities as well as regular close contact with industry and end-user partners. Our department is committed to promoting diversity and inclusivity. We are committed to exploring flexible working opportunities which benefit the individual and University.
The project will be supervised by a combination of drainage and water supply infrastructure experts, with Dr Alma Schellart as 1st supervisor, and Prof Joby Boxall, Prof Simon Tait and Dr Will Shepherd as co-supervisors. The research will be based at the University of Sheffield, with data derived from the activity at ICAIR (https://icair.ac.uk/) and potentially from collaborating water companies within Pipebots (https://pipebots.ac.uk/).
Have a good honours degree (2:1, or equivalent experience) in Engineering, Environmental Science, Computing Science, Mathematical and Physical Sciences, or a related subject.
How to apply
Interested candidates should email a covering letter and their Curriculum Vitae to Lindsay Hopcroft, firstname.lastname@example.org
For information and informal enquiries please contact: Dr. Alma Schellart,
More details can be found HERE
Closing Date for Applications: 20th April 2021
Interview date: 11th May 2021
Preferred start date PhD: 27th September 2021 (Studentship duration 3.5 years)
3.5-years tax-free stipend of £15,609 per year, UK resident tuition fees funded, international students would need to pay the difference between home and international tuition fees.