University of Leeds Featured PhD Programmes
European Molecular Biology Laboratory (Heidelberg) Featured PhD Programmes

AI-Based Diagnosis and AR-Based Rehabilitation of CV-19

Electronic and Electrical Engineering

About the Project

Applications are invited for one funded PhD studentship in the new Institute of Digital Futures at Brunel University London for the project “AI-Based Diagnosis and AR-Based Rehabilitation of CV-19” starting as soon as possible.

This exciting multidisciplinary research project, led by Professor Abdul Sadka, will research low-level image analytics and artificial intelligence (AI) for the automatic and accurate diagnosis of COVID-19 featuring in X-Radiography of the respiratory system. The derived features will be used to interpret X-ray and automatically identify COVID-19 cases from other types of upper respiratory tract infections such as sore throat, and lower respiratory tract infections such as asthma and lung cancer etc., making it an adaptive feature-based disease identification and classification solution.

In the second phase of this doctoral project, the AI-driven diagnosis of X-ray features of lung infections will be combined with the functional and physiological biomarkers of respiratory function, in order to define more accurately the disease severity level and tailor a specific therapeutic programme for individual patients. Augmented reality (AR) combined with deep neural network-based tracking of respiratory behaviour will allow the design of a tailored respiratory biofeedback rehabilitation programme. By investigating the integration between physiological and AI-driven diagnostics, this project will pave the way towards improving the therapeutic programme of COVID-19 cases.

Applicants will have or be expected to receive a first or upper-second class honours undergraduate degree in Engineering, Computer Science, Design, Mathematics, Physics or similar discipline. A postgraduate (Masters) degree is not required but may be an advantage. You must be eligible for home tuition fees either through nationality, residency (living in the UK for at least three years and not wholly for educational purposes) or other connection to the UK.

Applicants will be required to demonstrate programming aptitude and their ability to undertake Modelling & Simulation under various experimental conditions and in diverse settings. In addition, he/she should be highly motivated, have research project experience and have the desire to work in an inter-disciplinary team, transcending traditional engineering and clinical boundaries to develop novel and impactful methods for addressing critical public global health issues.

Contact Information

Please, contact for an informal discussion about the studentships:
Professor Abdul Sadka:
Professor Dido Green:
Dr Marco Davare:

How to Apply

Please submit your application documents (see list below) by Noon on 1st October 2020 to
. Interviews will take place as soon as possible.
• Your up-to-date CV;
• Your personal statement (300 to 500 words) summarising your background, skills and experience;
• Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
• Evidence of your English language skills to IELTS 6.5 (or equivalent, 6.0 in all sections), if appropriate;
• Contact details for TWO referees, one of which can be an academic member of staff in the College.
Note: Please remember to state the title of the project at the top of your personal statement.

Funding Notes

Successful applicants will receive an annual stipend (bursary) of £17,285 plus payment of their full-time home tuition fees for a period of 36 months (3 years). Applicants must be eligible for home tuition fees either through nationality, residency (living in the UK for at least three years and not wholly for educational purposes) or other connection to the UK.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here

The information you submit to Brunel University London will only be used by them or their data partners to deal with your enquiry, according to their privacy notice. For more information on how we use and store your data, please read our privacy statement.

* required field

Your enquiry has been emailed successfully

Search Suggestions

Search Suggestions

Based on your current searches we recommend the following search filters.

FindAPhD. Copyright 2005-2020
All rights reserved.