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Explainable prediction modelling for early detection of risks in multiple long-term conditions using health records data.

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  Explainable prediction modelling for early detection of risks in multiple long-term conditions using health records data.

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 Department of Computer Science

The Project

 Multiple Long-Term conditions (MLTC) are a major health care 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 healthcare database from Norfolk to access the health records which the supervisory team has access to. This project will aim to design, implement novel deep learning algorithms for risk prediction modelling and early detection of high-risk MLTC.

Please contact Dr Tahmina Zebin at for an informal discussion about the studentships.


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

Skills and Experience

Applicants with a master's degree and experience in data science, machine learning, artificial intelligence will be given a priority. 

How to apply

There are two stages of the application:

1.Applicants must submit the pre-application form via the following link 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 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 therefor ensure that they have all of this information in case they are shortlisted.

Interviews will take place in June 2023.


Meet the Supervisor(s)

Tahmina Zebin - Dr. Tahmina Zebin is a Senior Lecturer in Computer Science. Prior to this post, she was a Lecturer in the School of Computing Sciences at the University of East Anglia and has led an On-device and Explainable AI Research Group.  She completed her PhD studies in 2017 from the University of Manchester. Following her PhD, Tahmina was employed as a postdoctoral research associate on the EPSRC funded project Wearable Clinic: Self, Help and Care at the University of Manchester and was a Research Fellow in Health Innovation Ecosystem at the University of Westminster. Her research expertise includes Advanced Video and Signal Processing, Explainable and Inclusive AI, Human Activity Recognition, Risk Prediction Modelling from Longitudinal Electronic Health Records using various statistical, machine learning and deep learning techniques.

Related Research Group(s)

Intelligent Data Analysis

Intelligent Data Analysis - Concerned with effective analysis of data involving artificial intelligence, dynamic systems, image and signal processing, optimisation, pattern recognition, statistics and visualisation.