Principle supervisor: Dr Marco Cimillo (XJTLU, Architecture)
UoL supervisor: Dr David Chow (University of Liverpool, Architecture)
Co-supervisor: Dr Hyung-Chun (XJTLU, Urban Planning and Design)
The doctoral research is related to the broader project titled “Developing an energy building stock model for Jiangsu Province”, carried out by an international and multidisciplinary research team, but will constitute an independent piece of research. Energy modelling of existing buildings has a number of applications, which include energy efficiency and sustainability diagnosis, assessment and certification, retrofit design, development and configuration of advanced control systems, smart city and smart grid applications, building stock simulation to inform policy making. Thus, the need for rapid yet accurate and reliable methodologies for data collection and model building and calibration. Research in this area is being carried out in both academia and industry and is likely to be further intensified in the near future.
This proposal aims at the investigation of large-scale rapid energy modelling, and at the development of innovative methodologies to combine the potential of drones, 3D photo-modelling, thermal imaging and GIS (geographic information system). Due to its multidisciplinary nature, the research will be carried out in collaboration between the departments of Architecture and Urban Planning and Design.
The research is concerned with the development of a methodology envisioning the use of GIS to both retrieve inputs (such as building footprint, height, use, year of construction) to the energy model, and to map simulation results. Drone-based 3D photo modelling and infrared imaging will provide the model with the missing information to complete geometry and thermal characteristics of the buildings’ envelope. The combination of the data will be supported by background research, including direct survey, on building typologies, energy codes, common building practices and standards, climate and microclimate factors in the relevant geographical area. Such background research is also an essential part of the above- mentioned ongoing project and one of the several possible synergies through which the work of the PhD student will be supported and facilitated.
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The candidate should have a first class or upper second class honours degree, or a master’s degree (or equivalent qualification), in Architecture, Building Engineering, Environmental Design or other closely related fields. Evidence of good spoken and written English is essential. The candidate should have an IELTS score of 6.5 or above, or an equivalent qualification, if the first language is not English. Knowledge of Chinese is an advantage but not a requirement. This position is open to all qualified candidates irrespective of nationality.
The student will be awarded a PhD degree from the University of Liverpool (UK) upon successful completion of the program.
The PhD studentship is available for three years subject to satisfactory progress by the student. The award covers tuition fees for three years (currently equivalent to RMB 80,000 per annum) and provides a monthly stipend of 3500 RMB as a contribution to living expenses. It also provides up to RMB 16,500 to allow participation at international conferences during the period of the award. It is a condition of the award that holders of XJTLU PhD scholarships carry out 300-500 hours of teaching assistance work per year. The scholarship holder is expected to carry out the major part of his or her research at XJTLU in Suzhou, China. However, he or she is eligible for a research study visit to the University of Liverpool of up to three months, if this is required by the project.
How to Apply:
Interested applicants are advised to email email@example.com the following documents for initial review and assessment (please put the project title in the subject line).
|Location:||Suzhou - China|
|Funding for:||UK Students, EU Students, International Students|
£15,632.68 converted salary* per annum (Covers tuition fee and stipend).
|Placed On:||23rd May 2019|
|Closes:||3rd July 2019|
Type / Role: