Smart Grid meets the Internet of Things
Eligibility: UK/EU/International graduates with the required entry requirements
Funding details: Bursary of £15,009 per annum plus tuition fees (UK/EU/International)
Duration: Full-Time – between three and three and a half years fixed term
Application deadline: 31st January 2020
Interview dates: Will be confirmed to shortlisted candidates
Start date: May 2020
Enquiries may be addressed to Professor James Brusey.
Coventry University is inviting applications from suitably-qualified graduates for a fully-funded PhD studentship.
The Centre for Data Science is a recently established research centre with a vision to become an internationally recognised research centre in the field of Artificial Intelligence and Data Science. Currently, the research themes of the centre include Machine Learning, Computational Biology and Neuroscience, Statistical and Mathematical Modelling, Wireless Sensors and the Internet-of-Things.
This studentship is offered as part of the Coventry University (UK) – Deakin University (Australia) Cotutelle PhD programme.
Renewable energy micro-grids seem a perfect solution to provide off-grid, remote communities with energy for light, refrigeration, cooking, and other modern appliances. However, real-world experience of these micro-grids is that, too often, they fail and then fall into disrepair. Even where an energy supplier is directly involved in maintenance, systems can be so prone to failure that eventually end-users are driven to other solutions.
This program envisages future micro-grid systems that are easy to use, easy to manage and maintain, self-configuring, and, where possible, self-repairing. To do this, the applicant will make use of a diverse set of technologies and approaches, including: renewable systems (solar panels, wind generators), wireless embedded systems, machine learning.
The key research questions are around:
- Why do renewable energy micro-grids fail? What are the drivers for and against their longevity?
- What is the role for Internet of Things / wireless embedded systems in enabling configuration and management?
- What failure modes exist and can a machine learning approach help to identify and / or take action to resolve?
Training and Development
The successful candidate will receive comprehensive research training including technical, personal and professional skills.
All researchers at Coventry University (from PhD to Professor) are part of the Doctoral College and Centre for Research Capability and Development, which provides support with high-quality training and career development activities.
- A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average
- The potential to engage in innovative research and to complete the PhD within a 3.5 years
- A minimum of English language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component)
Must meet the entry requirement of Deakin University::
Candidates must hold a Masters Degree in Computer Science or a relevant subject area.
The Masters must have been attained with overall marks at 75%. In addition, the dissertation or equivalent element in the Masters must also have been attained with a mark at 75%.
Candidates must be both prepared and able to physically locate to both Coventry University (England) and Deakin University (Australia).