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Early Diagnosis of Dementia Using Innovative Technologies

We are recruiting new Doctoral Researchers to our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships starting 1 October 2023. Applications are invited for the project Early Diagnosis of Dementia Using Innovative Technologies

Successful applicants will receive an annual stipend (bursary) of approximately £19,668, including inner London weighting, plus payment of their full-time home tuition fees for a period of 42 months (3.5 years).

You should be eligible for home (UK) tuition fees there are a very limited number (no more than three) of studentships available to overseas applicants, including EU nationals, who meet the academic entry criteria including English Language proficiency.

You will join the internationally recognised researchers in the Department of Electrical and Electronic Engineering

The Project

Alzheimer's disease is the most common type of dementia. There is no cure for the disease, which worsens as it progresses, and eventually leads to death. Dementia ultimately leaves people needing more care and support over time as brain function wastes away. The aim of this project is to study and build a prediction model for the diagnosis of early-stage dementia by using emerging EEG sensor material, advanced circuit design and artificial intelligence (AI). 

Please contact Dr Ruiheng Wu at ruiheng.wu@brunel.ac.uk for an informal discussion about the studentships.

Eligibility

Applicants will have or be expected to receive a first or upper-second class honours degree in an Engineering, Computer Science, Design, Mathematics, Physics or a similar discipline. A Postgraduate Masters degree is not required but may be an advantage.

Skills and Experience

Applicants will be required to demonstrate their ability to:

(1) Manage the project based on the targets effectively;

(2) Have strong software development skill;

(3) To be able to carry out hardware design, implementation and test according to the specifications.

Experience in:

(1)  Wireless sensor and network; 

(2)  Signal and image processing; 

(3)  Artificial intelligence and machine learning. 

You should be highly motivated, able to work independently as well as in a team, collaborate with others and have good communication skills.

How to apply

There are two stages of the application:

1.Applicants must submit the pre-application form via the following link https://brunel.onlinesurveys.ac.uk/epsrc-dtp-23-24-pre-application-form-brunel-university-lon-3 by 16.00 on Friday 26th May 2023.

2.If you are shortlisted for the interview, you will be asked to email the following documentation in a single PDF file to cedps-studentships@brunel.ac.uk within 24hrs.

  • Your up-to-date CV;
  • Your Undergraduate degree certificate(s) and transcript(s) essential;
  • Your Postgraduate Masters degree certificate(s) and transcript(s) if applicable;
  • Your valid English Language qualification of IELTS 6.5 overall (minimum 6.0 in each section) or equivalent, if applicable;
  • Contact details for TWO referees, one of which can be an academic member of staff in the College.

Applicants should therefore ensure that they have all of this information in case they are shortlisted.

Interviews will take place in June 2023.

Meet the Supervisor(s)


Ruiheng Wu - Dr Ruiheng Wu received his BEng and MEng degrees from Tianjin University, China, in 1982 and 1986 respectively. Following 10 years as a faculty member in the Department of Electronic Engineering at Tianjin University and two years research at the City University of Hong Kong, he joined the Analogue Circuit Design Research Group at Oxford Brookes University as a PhD student in January 1999, where he completed his PhD thesis entitled 'Design of Wide Bandwidth High Linearity Amplifiers'. In January 2002, he joined the School of Engineering, University of Greenwich, where he worked as a senior lecturer until January 2018. Between January 2018 and January 2020, Dr Wu worked in the School of Engineering and the Built Environment, Birmingham City University. Currently, Dr Wu is a senior lecturer in electronic and electrical engineering, Department of Electronic and Computer Engineering, Brunel University London. Dr Wu is a senior member of the IEEE and a member of the IET.

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