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Intelligent Adaptive Design of Steel Structures using Deep Learning and NLP

 

Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. One of these projects is “Intelligent Adaptive Design of Steel Structures using Deep Learning and NLP led by Dr Michael Rustell in the Department of Civil and Environmental Engineering.

Successful applicants will receive an annual stipend of £18,062 including outer London allowance plus payment of their full-time tuition fees for a period of 42 months (3.5 years).

You should be eligible for home (UK) tuition fees but there is a limited number of studentships (no more than two) available to overseas applicants, including EU nationals, who meet the entry criteria.

The Project

This research will teach a machine to adaptively apply relevant clauses from Eurocode 3 for the safe and efficient design of steel structures using deep learning and NLP. The following development stages are proposed:

  1. a NLP model to interpret clauses from Eurocode 3 as mathematical hierarchies and the relationships between variables;
  2. an adaptive algorithm that can apply the relevant clauses required for the design of an arbitrary steel structure to the design code.

Please contact Dr Michael Rustell at Michael.rustell@brunel.ac.uk to find out more about the project.

Eligibility

You will have or will receive an undergraduate degree classified at 1st class or 2:1 (honours) in computer science, computer engineering or civil engineering. A postgraduate masters degree may be an advantage. Where appropriate, applicants must have English language proficiency to an overall score of IELTS 6.5 or equivalent.

Skills and Experience

Due to the technical nature of this project, you will either be a computer science, a computer engineering or a civil engineering graduate with an object-oriented programming background. Comprehensive training in deep learning will be provided. You should be a highly motivated individual and possess a strong sense of curiosity. The ability to study independently, think critically and collaborate with others is essential.

How to apply

Email the documents below as a single PDF file to cedps-studentships@brunel.ac.uk by 16:00 on Friday 3 June 2022. Please state the name of the project supervisor in your email.

  • Your up-to-date CV;
  • Your 300-word personal statement setting out why you are suitable for this position;
  • Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
  • Your English Language qualification of IELTS 6.5 overall or equivalent, if applicable;
  • Two references, one of which can be provided by a member of Brunel University academic staff.

Interviews will take place in June 2022.

Meet the Supervisor(s)


Michael Rustell - Michael is a chartered civil engineer (CEng MICE) who holds an Engineering Doctorate (EngD) in artificial intelligence in design automation of civil infrastructure. He has spent the past 8 years in industry working in ports and marine, oil & gas and nuclear industries and was a lead data scientist for the Europe, Middle East and Africa (EMEA) region at AECOM prior to joining Brunel.  Michaels interests include: deep learning, machine learning and data science in civil engineering, natural language processing, design automation and stochastic design methods.