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AI and IoT enabled health and well-being system over 6G networks (2021SC62)


   Computing, Engineering & Physical Sciences

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  Dr M Shakir, Dr Andisheh Bakhshi  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

Glasgow United Kingdom Applied Mathematics Data Analysis Electrical Engineering Mathematics

About the Project

The University of the West of Scotland (UWS) is seeking to attract a PhD candidate of outstanding ability and commitment to join its vibrant and growing programme of internationally excellent research. The successful applicant will receive an annual stipend (currently £15,609 per annum for three years) and payment of tuition fees (current value £4,500 per annum for 3 years).

Our vision is to create new knowledge in the form of an intelligent tool and develop a cost-effective health and well-being monitoring and predicting system based on Artificial Intelligence (AI) and internet of things (IoT) for healthcare. Combined with (1) lifestyle data collected through mobile App, such as mobility/known health conditions and (2) sensor data such as vital signs and heart rate etc and (3) camera/visual data such as emotions and feelings, we aim to identify data markers for compromised health and well-being conditions; deliver interventions or create alert and identify routes to change the delivery of healthcare services. 

This research network will develop an integrated approach to remotely monitoring and intelligently predicting health and well-being of general public, e.g., stress and anxiety which could increase the risk of suicide contemplation (UN mental health Target 3.2), with the objective of improving health and well-being services and promoting mental health (UN Goal#3) and reducing further healthcare burden. The study will be validated with the use case where multimedia content, e.g., music therapy can be delivered over enhanced ICT infrastructure (UN Goal#9) such as highly reliable 5G/6G networks including small cells as an intervention to influence the well-being of individuals suffering from stress or anxiety and related mental health.

The studentship is open to UK citizens and EU applicants with pre-settled or settled status, it is also open to international applicants if they can cover the difference between Home and International fees for the duration of the programme of study. Candidates should hold a first- or second-class honours or a master’s degree in computer science/computer engineering/electrical and electronic engineering or other relevant disciplines or have equivalent industry experiences. It is essential that the applicant has very good skills in computer programming (e.g., Python and C/C++) and good knowledge in data science, IoT, artificial intelligence and machine learning, and mathematical modelling. Please quote the Project Reference number above when submitting your research proposal.

In the first instance, any informal enquiries and applications to these competitive studentships should be made by email to Dr. Muhammad Zeeshan Shakir ([Email Address Removed]). Successful applicants will be asked to submit the application through the UWS online system (https://www.uws.ac.uk/study/research-degrees/admissions-application/). Submit your detailed resume with cover letter and a copy of relevant research publications in addition to the required documents mentioned in UWS guidance

Closing date 30th June 2021

Interview July 2021

Start date 1st October 2021

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