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- Tasks: Conduct groundbreaking research in AI and health data science while contributing to teaching.
- Company: Join UCL's Institute of Health Informatics, a leader in health research.
- Benefits: Receive a stipend of £22,780 and tuition fee coverage for UK students.
- Other info: Unique training programme and access to a vibrant research community.
- Why this job: Make a real impact on healthcare using cutting-edge AI technologies.
- Qualifications: Upper second-class Bachelor's degree and Master's in a relevant field required.
The predicted salary is between 22780 - 22780 £ per year.
Two 3.5 year PhD studentships in Artificial Intelligence in Medicine, or Health Data Science, funded by the National Institute for Health Research UCL UCLH Biomedical Research Centre are available within the Institute of Health Informatics. The studentships will commence from Oct 2026.
Successful applicants will work with the programme coordinator to identify a project and a supervisory team working with academics and clinical scientists from UCL and UCLH. The projects will cover studies of the application of AI in real clinical environments, the use of vision language models and other leading edge technologies to build tools from unique datasets, and the application of analytical tools to answer vital questions enhancing our understanding of diseases and well-being. Applicants will be expected to contribute to teaching at the Institute of Health Informatics, with the commitment being equivalent to six months teaching over the lifetime of the PhD.
The student will work within the Institute of Health Informatics as part of a group of over 30 researchers using clinical data to improve our understanding of disease and the effectiveness of treatments, and implementing AI algorithms to deliver safer and more efficient care. The student will have access to a unique training programme in AI in healthcare and health data science as well as a wide range opportunities for developing skills in a rapidly developing field at one of the world’s leading research universities. These studentships provide a unique opportunity to conduct supervised research at a world leading institute and be a part of our research community.
Applicants should have, or expect to receive an upper second-class Bachelor’s degree and a Master’s degree (or equivalent work experience) in a relevant discipline or an overseas qualification of an equivalent standard.
This studentship provides a starting stipend of £22,780 per annum and covers the cost of tuition fees based on the UK (Home) rate. Non-UK students can apply but will have to personally fund the difference between the UK (Home) rate and the overseas rate where they are not eligible for UK fee status.
To apply, please send a current CV including the contact details of two professional referees as well as a 1 sided A4 cover letter to Professor Paul Taylor, p.taylor@ucl.ac.uk. Interview date: 20th May 2026. The successful applicant will then be required to apply to and register on the Institute of Health Informatics MPhil/PhD programme to take up the studentship. Applications that are submitted without following the correct application process will not be considered.
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
3.5 Year PhD Studentship in the Institute of Health Informatics employer: UK Dementia Research Institute
Contact Detail:
UK Dementia Research Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 3.5 Year PhD Studentship in the Institute of Health Informatics
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty at the Institute of Health Informatics. A friendly chat can give you insider info and maybe even a recommendation!
✨Tip Number 2
Prepare for your interview by researching AI in healthcare. Show us you’re passionate about the field and ready to dive into those unique datasets we mentioned!
✨Tip Number 3
Don’t forget to highlight your teaching experience! We value candidates who can contribute to our community, so share any relevant skills or experiences in your cover letter.
✨Tip Number 4
Apply through our website and follow the application process closely. We want to see your enthusiasm, so make sure you send your CV and cover letter directly to Professor Paul Taylor as instructed!
We think you need these skills to ace 3.5 Year PhD Studentship in the Institute of Health Informatics
Some tips for your application 🫡
Craft a Stellar CV: Your CV is your first impression, so make it count! Highlight your academic achievements, relevant experience, and skills that align with the PhD studentship. Keep it concise and tailored to the role.
Nail That Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in healthcare and how your background makes you a perfect fit. Be genuine and let your enthusiasm show!
Follow the Application Process: Make sure you follow the application instructions to the letter. Send your CV and cover letter directly to Professor Paul Taylor at the provided email. Applications that don’t follow this process won’t be considered, so double-check!
Showcase Your Research Interests: In your application, mention specific areas of AI in medicine or health data science that excite you. This shows us that you’ve done your homework and are genuinely interested in contributing to our research community.
How to prepare for a job interview at UK Dementia Research Institute
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and technologies in AI and health data science. Brush up on relevant research papers and projects, especially those related to the Institute of Health Informatics. This will show your genuine interest and understanding of the field.
✨Prepare Your Questions
Interviews are a two-way street! Prepare insightful questions about the projects you might work on, the supervisory team, and the training programme. This not only demonstrates your enthusiasm but also helps you gauge if the studentship is the right fit for you.
✨Showcase Your Experience
Be ready to discuss your academic background and any relevant experience in detail. Highlight specific projects or coursework that align with the studentship’s focus on AI in clinical environments. Use examples to illustrate your skills and how they can contribute to the research community.
✨Understand the Application Process
Familiarise yourself with the application process and fee status requirements. Be prepared to discuss your eligibility for Home fee status, as this could come up during the interview. Knowing this information will help you feel more confident and informed.