布鲁内尔大学PhD Position in Developing AI-Based Equitable Risk Prediction Models for Long-Term Conditions Using Longitudinal Health Dat申请条件要求-申请方
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布鲁内尔大学
PhD直招介绍
About the Project
We are recruiting new Doctoral Researchers to our EPSRC funded Doctoral Landscape Award (DLA) PhD studentships starting 1 October 2025. Applications are invited for the project title “Developing AI-Based Equitable Risk Prediction Models for Long-Term Conditions Using Longitudinal Health Data.”
You will join the internationally recognised researchers in the Department of Computer Science research and PhD programmes | Brunel University London( https://www.brunel.ac.uk/computer-science/research-and-phd-programmes )
The Project
Multiple long-term conditions (MLTC) present significant healthcare challenges, leading to increased service utilisation and expenditure. This project aims to develop robust and explainable AI methods for predicting MLTC risks using health records data, thereby enhancing early risk detection, improving patient care, and optimising healthcare resources.
Some of the suggestive activities are as follows:
1. Analyse longitudinal electronic health records to prepare data for AI modelling.
2. Design explainable AI models for MLTC risk prediction, emphasising fairness and transparency.
3. Formulating methods for efficient explanations for longitudinal time-series models
4. Conduct testing, validation and risk assessment of the developed AI to ensure models perform equitably across diverse patient demographics and adhere to ethical standards.
5. Work with healthcare organisations for real-world implementation and iterative improvement.
The project will employ advanced data pre-processing techniques and develop novel explainable deep learning algorithms, including transformer-based multistate models to predict risk progression across different demographic groups. Collaboration with healthcare partners will facilitate practical deployment and continuous refinement of the AI models.
Conducted within the Department of Computer Science at Brunel University London under the supervision of Dr. Tahmina Zebin, the project will involve frequent collaboration with colleagues from the Norwich Medical School. This project will provide the PhD student with an opportunity to gain experience in rapidly expanding fields of computer science that include deep machine learning, risk prediction modelling, and digital health.
布鲁内尔大学 PhD Position in Developing AI-Based Equitable Risk Prediction Models for Long-Term Conditions Using Longitudinal Health Dat项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
Successful applicants will receive an annual stipend (bursary) of approximately £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 two) studentships available to overseas applicants, including EU nationals, who meet the academic entry criteria including English Language proficiency.
Please contact Dr Tahmina Zebin at tahmina.zebin@brunel.ac.uk for an informal discussion about the studentships.
布鲁内尔大学Phd申请条件和要求都有哪些？PhD Position in Developing AI-Based Equitable Risk Prediction Models for Long-Term Conditions Using Longitudinal Health Dat项目是不是全奖？有没有奖学金？下面我们一起看一下布鲁内尔大学申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
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 the following skills;
• A 2:1 technology-related degree (Computer Science or a closely related degree with a strong Data Science and AI component)
• Some proficiency in state-of-the-art AI development techniques, with a focus on deep learning, supervised, unsupervised and advanced time series modelling techniques.
• Strong programming skills, particularly in Python, and experience with popular AI and machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Ability to critically evaluate academic literature.
• A high level of motivation, with the ability to work effectively both independently and as part of a team. Strong collaboration skills and excellent communication abilities are essential.
报名方式
申请链接
联系人
邮箱：cedps-studentships@brunel.ac.uk
招生人信息
Dr Tahmina Zebin
邮箱：tahmina.zebin@brunel.ac.uk
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