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Faculty/Directorate: Faculty of Science and Engineering

Salary: £34,804 to £40,322 per annum together with USS pension benefits

Contract: Fixed term 35 hours per week until 28/02/2023 

Location: Bay Campus, Swansea

From the development of the Finite Element Method at Swansea in the 1960s to our present day research turning buildings into power stations, we strive for our research to have a real impact. The Zienkiewicz centre (formally Civil and Computational Engineering Centre) have pioneered the development of numerical techniques, such as the finite element method and associated computational procedures that have enabled the solution of many complex engineering problems. We have been one of the leading players in revolutionising the industrial engineering analysis practice, using efficient and accurate computational modelling. In the most recent Research Excellence Framework (REF) in 2014 our research was ranked 10th in the UK for the combined score in research quality across the Engineering disciplines. 94% of research produced by our academic staff is of World-Leading (4*) or Internationally Excellent (3*) quality, which increased from 73% in the 2008 RAE. With our world-class research centres and a sustained investment programme to provide outstanding resources and facilities, Engineering provides a superb environment in which to conduct research.

Demonstration of the operational performance of a building will be assessed via the creation of a digital twin of SPECIFIC’s Active Office, which is a demonstration building located on Swansea Universities bay campus. The building has several integrated technologies and services that are extensively monitored, recording measurements such as flow, temperature and energy consumption. The Active Office therefore serves as an ideal platform for creation of an energy flow model, predicted demand and energy generation and control regimes. In the first instance a virtual model of the building and its space heating systems will be created and modelled. Space heating requirements will be modelled and correlated to the actual building using the physical data collected to validate and improve the model’s accuracy. Electrical generation and loading will then be implemented in the model. Energy demands based on weather forecasts and utilisation, and optimised control of the energy systems will be included as the model progresses, to attain predictive capability using artificial intelligence.

Essential criteria are:

  • A postgraduate doctoral qualification in a data and modelling, analytics and machine learning or equivalent
  • Evidence of active engagement, personal role, and contribution to writing and publishing research papers, particularly for refereed journals.

The University is committed to supporting and promoting equality and diversity in all of its practices and activities.

We have an under-representation of women in the area of research and would particularly welcome applications from women for this position. We also have an under representation of individuals from minority ethnic backgrounds and would encourage applications from these groups. Appointments will always be made on merit.

Informal enquiries: Prof. Perumal Nithiarasu (p.nithiarasu@swansea.ac.uk) or Dr Sam Rolland (s.rolland@swansea.ac.uk)

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