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For Companies At a Glance
- Tasks: Conduct groundbreaking research in AI and health data science with leading experts.
- Company: Join UCL's Institute of Health Informatics, a top research university.
- Benefits: Receive a stipend of £22,780 and tuition fee coverage.
- 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.
- Other info: Unique training programme and teaching opportunities in a vibrant research community.
The predicted salary is between 22780 - 22780 £ per year.
Project Overview
Three 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 Feb 2026.
About the project
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.
Teaching commitment
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.
About the role
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.
About you
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.
What we offer
This studentship provides a starting stipend of £22,780 per annum and covers the cost of tuition fees based on the UK (Home) rate. We are only able to support fees at the Home rate.
How to Apply
Please do not click the 'Apply Now' button next to the advert. Enquiries regarding the post can be made to Professor Paul Taylor p.taylor@ucl.ac.uk. 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. Closing deadline for applications: 15th Dec 2025. Interview date/s (if known): 6th Jan 2026. Applications that are submitted without following the correct application process will not be considered. 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.
PhD Studentship : NIHR UCL UCLH BRC Studentships in AI in Medicine and Health Data Science in City of London employer: UCL
Contact Detail:
UCL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Studentship : NIHR UCL UCLH BRC Studentships in AI in Medicine and Health Data Science in City of London
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty members at UCL and UCLH. They can give you insider info about the programme and might even put in a good word for you.
✨Tip Number 2
Prepare for your interview by practising common questions related to AI in medicine and health data science. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 3
Show your passion for the field! During your interview, share specific examples of projects or research that excite you. This will help you stand out as a candidate who’s genuinely interested in the work.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email to the interviewers can leave a lasting impression and shows your enthusiasm for the position.
We think you need these skills to ace PhD Studentship : NIHR UCL UCLH BRC Studentships in AI in Medicine and Health Data Science in City of London
Some tips for your application 🫡
Read the Job Description Carefully: Before you start your application, make sure to read through the job description thoroughly. We want to see that you understand the role and how your background fits into the exciting projects we have at StudySmarter.
Craft a Tailored Cover Letter: Your cover letter is your chance to shine! Make it personal and relevant to the PhD studentship. Highlight your experience in AI and health data science, and show us why you're the perfect fit for our team.
Update Your CV: Ensure your CV is up-to-date and includes all relevant qualifications and experiences. We love seeing how your skills align with the research we do, so don’t hold back on showcasing your achievements!
Follow the Application Instructions: It’s super important to follow the application process as outlined. Send your CV and cover letter to the specified email address, and double-check that you’ve included everything we need. We can’t wait to hear from you!
How to prepare for a job interview at UCL
✨Know Your AI and Health Data Science
Make sure you brush up on the latest trends and technologies in AI as they relate to medicine and health data science. Be prepared to discuss specific projects or research that excite you, and how they could apply to the work at the Institute of Health Informatics.
✨Showcase Your Teaching Commitment
Since you'll be contributing to teaching, think about your past experiences in teaching or mentoring. Prepare examples that highlight your ability to communicate complex ideas clearly and engage with students, as this will be a key part of your role.
✨Prepare Questions for Your Interviewers
Interviews are a two-way street! Prepare thoughtful questions about the projects you might work on, the supervisory team, and the training programme. This shows your genuine interest and helps you assess if the studentship is the right fit for you.
✨Practice Your Presentation Skills
You may need to present your ideas or previous work during the interview. Practise explaining your research succinctly and confidently, focusing on its relevance to AI in healthcare. This will help you stand out and demonstrate your communication skills.