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- Tasks: Transform paediatric healthcare using AI to digitise and structure critical data.
- Company: Swansea University, a leader in innovative research and technology.
- Benefits: Fully funded scholarship covering tuition and a generous stipend for 4 years.
- Why this job: Make a real difference in children's health with cutting-edge AI solutions.
- Qualifications: Background in Machine Learning or Data Science; eagerness to learn and grow.
- Other info: Join a dynamic team focused on ethical AI development and impactful research.
The predicted salary is between 20780 - 20780 £ per year.
This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare remains under-researched, particularly in areas like rare diseases, neonatal care, and chronic conditions. A major barrier is the lack of AI-ready data due to a lack of electronic health records (EHR) in Wales, meaning most paediatric records are handwritten and unstructured.
The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create structured datasets. These will support AI applications in paediatric care, enabling early detection of conditions and personalised treatment planning. A human-in-the-loop (HITL) approach will ensure clinical expertise guides model development, improving accuracy and trust. Ethical considerations, including data privacy and collaboration with hospital ethics boards, are central to the project.
Ultimately, this research seeks to produce AI-ready data creation techniques that will help establish scalable, globally relevant AI solutions and elevate paediatric healthcare to the standards seen in adult medicine.
The ideal candidate should have a background in one of the Machine Learning or Data Science domains with high motivation for upskilling and filling any gaps in their knowledge based on the requirements of the project at the early stages of the study.
Funding: This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (currently £20,780 for 2025-26) for 4 years.
Swansea University employer: Uag
Contact Detail:
Uag Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Swansea University
✨Tip Number 1
Network like a pro! Reach out to professionals in the paediatric healthcare and AI fields. Attend relevant events, webinars, or even local meetups. We can’t stress enough how valuable personal connections can be in landing that dream PhD position.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects related to machine learning or data science. This could be anything from coursework to personal projects. We want to see your passion and expertise shine through!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI applications in healthcare. Be ready to discuss how you can contribute to digitising records and improving paediatric care. We believe in being well-prepared to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. We’re here to help you every step of the way, so make sure you take that leap!
We think you need these skills to ace Swansea University
Some tips for your application 🫡
Show Your Passion for Paediatric Healthcare: When writing your application, let us see your enthusiasm for transforming paediatric healthcare. Share any relevant experiences or projects that highlight your commitment to this field, especially in areas like rare diseases or neonatal care.
Highlight Your Technical Skills: Make sure to showcase your background in Machine Learning or Data Science. We want to know about your experience with natural language processing and machine learning techniques, so don’t hold back on the details!
Emphasise Your Willingness to Learn: We’re looking for candidates who are eager to upskill and fill knowledge gaps. Mention any courses, workshops, or self-study you've done to prepare for this project, as it shows your motivation and readiness to dive into the research.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for this exciting opportunity in paediatric healthcare.
How to prepare for a job interview at Uag
✨Know Your AI and ML Basics
Make sure you brush up on your knowledge of artificial intelligence and machine learning concepts. Be ready to discuss how these technologies can be applied in paediatric healthcare, especially in areas like natural language processing and data structuring.
✨Show Your Passion for Paediatric Healthcare
Demonstrate your enthusiasm for improving paediatric healthcare. Share any relevant experiences or projects you've worked on that relate to rare diseases, neonatal care, or chronic conditions. This will show your commitment to the field.
✨Prepare for Ethical Discussions
Since ethical considerations are central to the project, be prepared to discuss data privacy and the importance of collaboration with hospital ethics boards. Think about how you would approach these issues in your research.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the specific challenges they face in digitising records or how they envision the human-in-the-loop approach working in practice. This shows your genuine interest in the project.
