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- Tasks: Join a groundbreaking PhD project using AI to transform burn wound healing evaluation.
- Company: The University of Manchester is a leading institution dedicated to innovative research and education.
- Benefits: Gain hands-on experience in cutting-edge technology and contribute to meaningful healthcare advancements.
- Why this job: Make a real impact on lives by improving burn recovery assessments with AI and digital pathology.
- Qualifications: Strong analytical skills; background in biomedical sciences, computer science, or related fields preferred.
- Other info: Self-funded candidates or those with external sponsorship are encouraged to apply.
The predicted salary is between 36000 - 60000 £ per year.
Direct message the job poster from The University of Manchester
Group Leader at University of Manchester
https://www.bmh.manchester.ac.uk/study/research/apply/
This four-year PhD project will harness artificial intelligence and high-resolution digital pathology to revolutionise how we evaluate healing in burn wounds. Using SlideScanner microscopy and advanced machine learning, you will help build tools that go beyond surface inspection — identifying tissue characteristics that define different grades of abnormality in wound healing.
Why this matters
Major burns can change lives forever — leaving behind scarring, pain, and challenges to physical and mental health. While current clinical methods rely largely on visual assessments, these offer only superficial insights. Histopathology remains the gold standard but is time-intensive and limited. By digitising samples and applying AI, we aim to improve accuracy, speed, and clinical value in assessing wound recovery.
What we’re looking for
We are seeking a motivated candidate with strong analytical skills and a passion for applying computational methods to biomedical challenges. A background in biomedical sciences, computer science, bioinformatics, or a related field is ideal, though we welcome applicants from diverse disciplines who are ready to learn.
Tuition Fees (Home) £11,500 per year
(Overseas including EU) £29,500 per year
Project Costs £3,500 per year
Start Dates September 2025, January 2026, or April 2026
Duration 4 years (full-time)
Funding Applicants must be self-funded or secure external sponsorship
Find out how to apply at https://www.bmh.manchester.ac.uk/study/research/apply/
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Doctoral Student employer: The University of Manchester
Contact Detail:
The University of Manchester Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Doctoral Student
✨Tip Number 1
Make sure to connect with the job poster on LinkedIn or other professional networks. This can help you establish a rapport and show your genuine interest in the project, which may give you an edge over other candidates.
✨Tip Number 2
Attend relevant seminars or workshops related to artificial intelligence and digital pathology. Engaging in these events not only enhances your knowledge but also allows you to network with professionals in the field, potentially leading to valuable recommendations.
✨Tip Number 3
Consider reaching out to current or former PhD students in similar programmes at The University of Manchester. They can provide insights into the application process and what the research environment is like, helping you tailor your approach.
✨Tip Number 4
Familiarise yourself with the latest advancements in AI applications within biomedical sciences. Being well-versed in current trends will not only prepare you for potential interview questions but also demonstrate your commitment to the field.
We think you need these skills to ace Doctoral Student
Some tips for your application 🫡
Understand the Project: Familiarise yourself with the specifics of the PhD project. Read about the use of artificial intelligence and digital pathology in evaluating burn wounds, and think about how your background aligns with these themes.
Tailor Your CV: Highlight relevant experience in biomedical sciences, computer science, or bioinformatics. Include any projects or coursework that demonstrate your analytical skills and passion for computational methods in biomedical challenges.
Craft a Compelling Personal Statement: Write a personal statement that reflects your motivation for applying. Discuss your interest in the intersection of AI and healthcare, and how you can contribute to the project's goals. Be sure to mention any relevant skills or experiences.
Check Application Requirements: Review the application requirements on the University of Manchester's website. Ensure you have all necessary documents ready, including transcripts, proof of funding, and any additional materials they may request.
How to prepare for a job interview at The University of Manchester
✨Show Your Passion for Biomedical Challenges
Make sure to express your enthusiasm for applying computational methods to biomedical issues. Share any relevant experiences or projects that highlight your interest in this field, as it will resonate well with the interviewers.
✨Demonstrate Analytical Skills
Prepare to discuss specific examples where you've used analytical skills to solve problems. Whether through coursework, research, or personal projects, showcasing your ability to analyse data and draw conclusions will be crucial.
✨Familiarise Yourself with AI and Digital Pathology
Since the project involves artificial intelligence and digital pathology, brush up on these topics. Being able to discuss current trends, tools, and methodologies in these areas will show your commitment and readiness for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the PhD project and the research environment at The University of Manchester. This not only shows your interest but also helps you gauge if the programme aligns with your career goals.
