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Developing a holistic methodology for determining applications for robotics in elderly care homes

Eligibility: UK/EU applicants and existing Coventry University employees with the required experience

Award Details: £15,000 bursary per annum plus tuition fees

Duration: Full time - 3 years 6 months fixed term. If the PhD is completed within 3 years the PhD holder will be eligible to apply for one year’s post-doctoral funding to continue the work

Application deadline: August 31st (5pm)

For informal enquiries about this studentship, please contact Dr. Yanguo Jing.

Congratulations on taking your first steps toward a Research Degree as part of the Data Driven Research and Innovation collaborative programme. As an ambitious and innovative University, we’re investing an initial £100m into our new research strategy, ‘Excellence with Impact’. Through original approaches from world-leading experts, we’re aiming for our research to make a tangible difference to the way we live. As a research student you are an integral part of Coventry’s lively and diverse research community and contribute to our reputation for excellence. With our exceptional facilities and superb support mechanisms you are afforded every opportunity for academic success.

The Project

This PhD is led by Coventry University in partnership with the University of West England (UWE) and one of the UK’s leading specialist care facility providers. It will consider how the use of robotics in specialist elderly care environments can support their health, care and wellbeing and the carer resident relationships. It will consider how appropriate robotic embodiments can capture data and provide analytics and support in a non-intrusive manner, and complement other technologies and systems being used. It will also consider the conditions under which additional robotic functionality and interaction could be deployed over time once the initial embodiment(s) and its value delivery are well established.

The PhD project will develop an integrated holistic methodology that combines data gathering, analysis and representation approaches from domains such as social science, product design, psychology and mathematics. The proposed use of robotics is ground-breaking and will involve working closely with the residential partner to understand the particular issues and opportunities that exist, and how robotics can generate insights and value in these areas that would otherwise not have been possible.

This PhD aligns closely with a sister PhD led by UWE involving Coventry University and the same residential partner, which focuses on intelligent data processing and data fusion to create a platform for the introduction of cognitive assistants and agents.

About the Centres/Departments

The School of Computing, Electronics and Maths at Coventry University offers world-leading research in computer science and informatics, working with leading sector partners to reach new heights of discovery and create innovations that benefit society and solve global problems.

Bristol Robotics Laboratory (BRL) is the most comprehensive academic centre for multi-disciplinary robotics research in the UK. It is a collaborative partnership between the University of the West of England and the University of Bristol, and home to a vibrant community of over 200 academics, researchers and industry practitioners. BRL are world leaders in current thinking on service robotics, intelligent autonomous systems and bio-engineering.

Successful Applicants

Successful applicants will have:

  • a taught Masters degree in a relevant discipline, involving a dissertation of standard length written in English in the relevant subject area with a minimum of a merit profile: 60% overall module average and a minimum of a 60% dissertation mark
  • the potential to engage in innovative research and to complete the PhD within a 3 year period of study
  • a minimum of English language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component)

Additionally:

  • knowledge and/or experience in the subject
  • a good knowledge of user-centred design
  • experimental, modelling or analytical experience.
  • experience of (or a willingness to quickly learn) about machine learning algorithms.

Eligibility & Application procedure

Application Procedure:

Application information can be found in our how to apply section. Before completing the application please contact Dr. Yanguo Jing for an initial informal discussion about the opportunity. You can also find the Research Studentship Application Form here.

Eligibility:

UK/EU applicants are eligible to apply that meet the academic requirements, the eligibility criteria can be found at the making an application page. Existing Coventry University employees with the required experience are also eligible.