Smart Grid meets the Internet of Things
Eligibility: UK/EU/International graduates with the required entry requirements
Award Details: Bursary £15000 pa - Tuition fees (UK/EU/International)
Duration: Full-Time – three and a half years fixed term
Application deadline: 10 June 2019
Interview dates: TBC
Start date: September 2019
Informal enquiries are essential before application; contact Dr. James Brusey to discuss this opportunity.
This PhD project is part of the Cotutelle arrangement between Coventry University, UK and Deakin University, Melbourne, Australia. The successful applicant will spend 1 year at Coventry University, the second year at Deakin University and the remaining 1.5 years at Coventry University.
The supervision team will be drawn from the two Universities.
Successful candidates will receive a full scholarship covering course fees and living costs. Students will study in both Universities and on successful completion will be awarded a PhD by both.
The recent developments and low-cost nature of wireless sensor networks (WSNs) and the Internet of Things can bring significant advantages over traditional communication technologies used in today’s electric power systems. Recently, WSNs have been widely recognized as a promising technology that can enhance various aspects of today’s electric power systems, including generation, delivery, and utilization, making them a vital component of the next generation of the electric power distribution systems (which are known as smart grids).
Unlike the traditional distribution grids, where only the transmission of energy is needed, in smart grids, both the transmission of the energy and the transmission of the information on the consumed/transmitted energy are necessary to ensure the energy efficient operation of the grids. However, the integrated and complex electric-power-system structures pose several challenges mainly associated with the reliability of WSN communications and real-time decisions based on sensors data in the distribution control in smart grid applications. Smart grid optimization strategies will be investigated and optimal sensor based data delivery systems will be designed to support distributed control and knowledge extraction.
The project’s innovations and contributions to knowledge will be evaluated through a number of demonstrator test beds in the UK and Australia.
This project is part of the Research Centre for Fluid and Complex Systems (FCS). The Centre brings together over 100 leading applied mathematicians, experimentalists, theoreticians, and specialists in scientific computing to tackle the latest challenges in complex systems, with a focus on fluid flows and their measurement.
Our research benefits from an impressive and growing network of commercial, academic and government partnerships across the globe. Our unique combination of expertise and facilities from Coventry University and TÜV-NEL (NEL being the former National Engineering Laboratory), allows us to work across multiple industrial sectors to be the UK’s leading flow measurement and fluid mechanics research centre for the measurement and characterisation of complex flows.
For more information about the Research Centre, please visit the Research Centre specific pages here.
£15,000 bursary plus tuition fees - UK/EU/International
- 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.
Successful applicants will have:
- A minimum of a 2:1 first degree (second class honours upper division) in a relevant Computer Science or Enegineering discipline/subject area with a minimum 70% mark in the project element or equivalent with a minimum 70% overall module average, and/or
- a minimum of English language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component)
- the potential to engage in innovative research and to complete the PhD within a prescribed period of study
- A Masters Degree in a relevant subject area will be considered as an equivalent. The Masters must have been attained with overall marks at 70%. In addition, the dissertation or equivalent element in the Masters must also have been attained with a mark at 70%.
- The potential to engage in innovative research and to complete the PhD within a prescribed period of study
- Strong, demonstrable programming skills and good mathematical grounding are essential
- Experience with embedded systems programming or machine learning techniques in the context of engineering problems is desirable
All UK/EU/International students are eligible to apply that meet the academic requirements, the eligibility criteria can be found making an application page.
To find out more about the project please contact Dr. James Brusey, email@example.com
All applications require full supporting documentation, a covering letter, plus a 2000-word supporting statement showing how the applicant’s expertise and interests are relevant to the project.