Personalised Risk Prediction Modelling for Multiple Long-term Conditions using Electronic Health Records Data
We are recruiting new Doctoral Researchers to our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships starting 1 October 2024. Applications are invited for the project title Personalised Risk Prediction Modelling for Multiple Long-term Conditions using Electronic Health Records Data
Successful applicants will receive an annual stipend (bursary) of £21,237, 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 Computer Science research and PhD programmes | Brunel University London
The Project
Multiple Long-Term conditions (MLTC) are a major healthcare challenge associated with high service utilisation and expenditure. In the project, the candidate will help develop robust and explainable AI methods for MLTC risk prediction. The research will use multiple healthcare databases from the UK to access the health records that the supervisory team has access to. This project will aim to design and implement novel deep learning algorithms for risk prediction modelling and early detection of high-risk MLTC.
This project will be conducted at the Department of Computer Sciences under the supervision of Dr Tahmina Zebin at Brunel University London. There will be some essential collaboration with colleagues from the Norwich Medical School at various stages of the development. The project will provide the associated researcher with an opportunity to gain experience in rapidly expanding fields of computer science that include deep machine learning, risk prediction modelling, and digital health.
Please contact Dr Tahmina Zebin at tahmina.zebin@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 Engineering, Computer Science, Design, Mathematics, Physics or a similar discipline. Applicants with a master's degree and experience in data science, machine learning, and artificial intelligence will be given priority.
Skills and Experience
Applicants will be required to demonstrate the following skills.
- Good programming Skills (Python/R/SQL)
- Verbal and written communication skills (report writing and presentation skills), with the ability to communicate complex information.
- Awareness of the ethical issues involved in their research work.
You should be highly motivated, able to work independently as well as in a team, collaborate with others.
How to apply
There are two stages of the application:
- Applicants must submit the pre-application form via the following link
https://brunel.onlinesurveys.ac.uk/epsrc-dtp-24-25-pre-application-form-brunel-university-lon
by 16.00 on Friday 5th April 2024.
- 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 72hrs.
- 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 April/May 2024.