Department of Engineering, Streatham Campus, Devon, University of Exeter
The University of Exeter’s College of Engineering, Mathematics and Physical Sciences is inviting applications for a fully-funded PhD studentship to commence in January 2022 or as soon as possible thereafter. The studentship will cover Home tuition fees plus an annual tax-free stipend of at least £15,609 for 3.5 years full-time, or pro rata for part-time study.
This College studentship is open to UK and Irish nationals, who if successful in their application will receive a full studentship including payment of university tuition fees at the home fees rate.
Ontological data modelling aims to collect the terms and definitions stated in natural language. Hence, ontology-based data modelling and ontology added applications provide holistic knowledge presentation infrastructures for the modelling of complex systems like smart cities where the data management in smart city domain is mostly clustered under the big data modelling.
Since the smart city concept involves multi-dimensional problems including energy management, water management, air congestion management, traffic management, other resource management, and their supply chain management; the size of the collected data is tremendous and especially using Internet of Things technologies, the amount increases logarithmically. Hence, the proposed solutions for such complex systems should be well-designed and comprehensive modelling approaches like ontological approaches.
In addition, most of the control methods in the smart city domain are rapid, adaptive and intelligent solutions underpinned with artificial intelligence and system theory. One of the most fundamental key problems in the smart city is to manage the energy at the building and district levels using multiple energy sources including thermal, electrical and renewable energies. Since the near real-energy management in the smart city concept is a function of very complex variables, to implement an analytical solution will not be an answer, as the occupants will expect fast and rapid responses from the proposed solutions to reduce and optimise their energy bills. Moreover, the integration of water management in such complex optimisation models will increase the complexity of the overall architecture. Therefore, an ontology added modelling underpinned with artificial intelligence added method may provide a robust integrated solution which then can be extended using web technologies to manage monitor and control over smart devices.
For more information about the project and informal enquiries, please contact primary supervisor: Dr Baris Yuce http://emps.exeter.ac.uk/engineering/staff/by235
This studentship is open to UK and Irish nationals, who if successful in their application will receive a full studentship including payment of university tuition fees at the home fees rate.
Applicants for this studentship must have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science or technology.
An Engineering, and/or Computer Science degree, is desirable.
If English is not your first language you will need to have achieved at least 6.0 in IELTS and no less than 6.0 in any section by the start of the project.
Alternative tests may be acceptable (see http://www.exeter.ac.uk/postgraduate/apply/english/).