https://www.findaphd.com/phds/project/using-ann-technology-to-determine-acceptable-microclimate-parameters-for-heritage-preservation/?p113723
Project Description Applications are invited for a 3.5-year ETP PhD studentship to conduct an experimental study using both Artificial Neural Network (ANN) modelling and mock-up testing. We will examine the effect of environmental fluctuations in a room on the microclimate inside a number of typical storage and display cases for book and paper collections. Our aim is to establish an acceptable level of fluctuation that would allow us to loosen current tight environmental controls and therefore reduce energy consumption. The successful candidate will be jointly supervised by academics in Heriot-Watt and Strathclyde and industrial advisors in The National Library of Scotland to gain both valuable research and industry work experience which will widen and enhance future job prospects. The candidate will join the Urban Energy Research Group based at the CESBD which comprises of academics, research associates and PhD students of multi-disciplinary fields. The candidate is expected to join the research activities of the group, producing written reports to sponsors and papers for international publication. The Institute of Sustainable Building Design at Heriot-Watt University is a Centre of Excellence in Sustainable Building Design (CESBD) established by the Royal Academy of Engineering. As one of four such Centres in UK, we join the national network to demonstrate and exchange best practice in teaching and research for the sustainable built environment. We undertake fundamental and applied research with an overall objective to ensure that buildings, infrastructure, public spaces and places are buildable, fit for purpose, resource efficient, sustainable, resilient, adaptable and attractive. Applicants must have a minimum of an upper second-class BSc degree in physics or engineering and preferably a Master’s degree in a relevant engineering or scientific subject. Essential skills should include:- - a good understanding of heat/mass transfer - good programming (e.g. C, Java, Python) - the ability to prioritise and work to deadlines - good planning and organisational skills Desirable skills should include:- - an appreciation of the ways in which Artificial Intelligence technology can be used in the monitoring and control of indoor environments - the ability to evaluate situations and problem solve - a creative approach to delivering results - good technical writing and verbal communication skills Please complete our online application form and select PhD Construction and include the reference EGIS2019FW on your application. You will also need to provide a CV, supporting statement, a copy of your degree certificate and relevant transcripts, and one academic reference. You must also provide proof of your ability in the English language (if English is not your mother tongue or if you have not already studied for a degree that was taught in English). We require an IELTS certificate showing an overall score of at least 6.5 with no component scoring less than 6.0. Interested applicants are encouraged to discuss the opportunity with the supervisor, Dr Fan Wang, before applying. This studentship is jointly funded by an alliance between Scottish Universities, Scottish Funding Council, and the National Library of Scotland. It is part of The Energy Technology Partnership (ETP), aiming “to build on the existing areas of excellence and collaborative working to ensure that Scotland remains, into the future, a world-renowned source for energy related RD&D and its commercialisation in the energy sector”. Funding Notes The scholarship will cover tuition fees for Home/EU students (£4327 per annum). Overseas students wishing to apply will be required to pay the difference between this amount and the full international fee (£14,940 per annum) for the PhD in Construction. The scholarship will also provide an annual stipend of approximately £15,009 for the 3.5 years duration of the project.
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