City University of London
Eligible:
All nationalities.
PhD degree program in Artificial neural network-based prediction formula for the behaviour of perforated steel shear walls reinforced with fibre-reinforced polymer sheets.
Criteria:
The candidate should have an upper second-class BEng/MEng (or equivalent, or higher) degree in civil/structural engineering. They should demonstrate aptitude for original research.
The candidate should possess a good understanding of steel structures, finite element modelling and earthquake engineering
Last date:
15th May 2022.
City University of London
Behaviour of steel structures studentship
This studentship will afford the student a chance to go deep in the areas of seismic design of steel structures, optimisation, advanced modelling, and machine learning.
Qualification Type: PhD
Hours: Full Time
Eligibility and requirements
Demonstrate a sound knowledge of their research area
Achieve and demonstrate significant depth in at least a few chosen sub-areas relevant to their primary research area
Demonstrate the ability to conduct independent research, including a critical assessment of their own and others’ research
Apply date:
15th May 2022.
This studentship application is open to students worldwide and is entitled to cover the full tuition fee of the applied programme by the selected candidates at the University of Liverpool and an annual tax-free stipend of £12,000
University or Organization: City University of London
Department: Department of Civil Engineering
Course Level: PhD
Award: Full coverage of tuition fees plus stipend
Access Mode: Online
Number of Awards: NA
Nationality: International
The award can be taken in the UK
Application Deadline: 15th May 2022.
Admission Requirements:
For being admitted, you need to meet the entry requirements for each qualification you plan to study.
Language Requirement:
Applicants from outside the home country will often need to meet specific English language requirements in order to be able to study at the university.
