At a Glance
- Tasks: Lead algorithm development for medical image analysis using AI/ML.
- Company: Join the UNIVERSITY OF SOUTHAMPTON, a leader in innovative research.
- Benefits: Flexible working options and opportunities for collaboration in a stimulating environment.
- Other info: Full-time position with potential for extension based on performance.
- Why this job: Make a real impact on medical diagnostics with cutting-edge technology.
- Qualifications: Strong computer science background, expertise in Python, and ML/AI experience.
The predicted salary is between 30000 - 40000 £ per year.
The UNIVERSITY OF SOUTHAMPTON is seeking a Research Software Engineer or Research Fellow with an AI/ML background to enhance medical diagnostics. This full-time position begins on May 15, 2026, with flexible working options available.
You will lead algorithm development for medical image analysis. Ideal candidates possess a strong computer science background, expertise in Python, and experience in ML/AI technologies. Opportunities for collaboration in a stimulating environment.
The post is for 12 months, starting no later than September 1, 2026, and may extend depending on performance.
Medical Imaging AI/ML Research Fellow — Python & Diagnostics employer: University of Southampton
The UNIVERSITY OF SOUTHAMPTON is an exceptional employer, offering a dynamic and collaborative work environment that fosters innovation in medical diagnostics. With flexible working options and a strong emphasis on employee growth, you will have the opportunity to lead cutting-edge research while contributing to meaningful advancements in healthcare. Join us to be part of a supportive community dedicated to pushing the boundaries of AI/ML technologies in medical imaging.
StudySmarter Expert Advice🤫
We think this is how you could land Medical Imaging AI/ML Research Fellow — Python & Diagnostics
✨Tip Number 1
Network like a pro! Reach out to professionals in the medical imaging and AI/ML fields on LinkedIn. A friendly message can open doors and lead to opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and AI/ML. This is your chance to demonstrate your expertise in medical diagnostics and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI/ML and medical imaging. We recommend practising with friends or using mock interview platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Medical Imaging AI/ML Research Fellow — Python & Diagnostics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Python and AI/ML technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about medical imaging and how your background makes you a perfect fit for this role. Let us know what excites you about working with us at the UNIVERSITY OF SOUTHAMPTON.
Showcase Your Collaboration Skills:Since this role involves collaboration, mention any past experiences where you worked in a team, especially in research or tech projects. We love to see how you can contribute to a stimulating environment!
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 the position. We can’t wait to see what you bring to the table!
How to prepare for a job interview at University of Southampton
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially as they relate to AI and ML. Be prepared to discuss specific libraries and frameworks you've used in past projects, and think about how you can apply them to medical imaging.
✨Showcase Your AI/ML Projects
Bring examples of your previous work in AI and machine learning to the interview. Whether it's a project from university or a personal endeavour, be ready to explain your thought process, the challenges you faced, and how you overcame them.
✨Understand Medical Imaging Basics
Familiarise yourself with the fundamentals of medical imaging and diagnostics. Knowing the key concepts will not only help you answer technical questions but also demonstrate your genuine interest in the field.
✨Prepare for Collaborative Scenarios
Since the role involves collaboration, think of examples where you've worked effectively in a team. Be ready to discuss how you handle feedback and contribute to group projects, as this will show your ability to thrive in a stimulating environment.
