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The Cognitively Inspired 5G-IoT Enabled Multi‐Modal Hearing Aid


Project Description

This ambitious project will use innovative data science related to machine learning and privacy algorithms, while integrating enabling technologies such as the Internet of Things (IoT) and 5G wireless technology to realize the future hearing aids. This project is funded by the Engineering and Physical Sciences Research Council (EPSRC)’s ‘Transformative Healthcare Technologies for 2050’ scheme, which supports research into ‘visionary’ technologies with the potential to impact and transform healthcare by the year 2050.

These projects demand that the research student already possesses exceptional knowledge in advanced signal processing and communication together with very high mathematical ability and programming skills. In particular the PhD student needs to have prior knowledge in applied mathematics, multivariate statistical analysis, information theory and should be familiar with various advance wireless communication techniques.

Please contact Prof. Tharm Ratnarajah
(http://www.profratnarajah.org/)

Eligibility
Minimum entry qualification - At least 2.1 first degree and MSc in Engineering or Computer Science or Physics or Mathematics.

How to apply
Please access this link: https://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&id=947
In your online application, please make sure you include Prof Ratnarajah as supervisor and please quote the project title in the Research Proposal field.

Funding Notes

Tuition fees + stipend may be available for UK students (TBC)

Related Subjects

How good is research at University of Edinburgh in General Engineering?
(joint submission with Heriot-Watt University)

FTE Category A staff submitted: 91.80

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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