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- Tasks: Develop AI-driven clinical decision-support systems for prostate cancer research.
- Company: Join King's College London, a leader in biomedical engineering and imaging sciences.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by advancing AI in medical imaging.
- Qualifications: PhD in relevant fields and experience in machine learning and programming.
- Other info: Collaborate with a multidisciplinary team in a dynamic research environment.
The predicted salary is between 45031 - 52514 £ per year.
Offer Description
About Us
The postholder will join the School of Biomedical Engineering & Imaging Sciences at King\’s College London to contribute to a three-year Prostate Cancer UK–funded project aimed at transforming active surveillance for prostate cancer.
The School of Biomedical Engineering & Imaging Sciences at King\’s College London provides a cutting-edge research environment dedicated to the development, clinical translation, and application of medical imaging and computational modelling technologies. It offers an exciting opportunity to conduct truly translational research, spanning from basic science to clinical practice.
About The Role
Working at the intersection of artificial intelligence, medical imaging, and clinical data science, the researcher will play a central role in developing and validating innovative AI-driven clinical decision-support systems. Embedded within a multidisciplinary team of computer scientists, clinicians, and imaging specialists, the postholder will help integrate multimodal data into robust tools that improve patient selection, disease monitoring, and personalised surveillance strategies, directly supporting King\’s mission to deliver world-leading translational research in precision medicine.
This position is an exciting opportunity for an enthusiastic machine learning researcher to push the boundaries of multimodal-AI by developing new models that incorporate data across several modalities, including imaging, text, social and clinical data.
The postholder will design and develop new algorithms and an associated software stack for multimodal data analysis and monitoring. The post holder will focus on technical algorithmic developments such as using unsupervised and self-supervised learning methods for data synchronisation, feature extraction and selection, and multimodal information fusion to leverage the complementary nature of different modalities effectively.
This is a full-time post (35 hours per week), and you will be offered a fixed-term contract for 2 years.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
- PhD qualified in Mathematics, Physics, Engineering or Computer science or near completion*
- Experience in language computer programming (Python)
- General experience in machine learning/deep learning (vision, structured data, NLP)
- Working with image analysis and machine/deep learning libraries and software packages (SciKit Learn, PyTorch, MONAI, …)
- Methodology development for image analysis and machine/deep learning
- Scientific Writing
- Ability to work calmly under pressure and act on initiative
- Project management
- Experience in clinical and industrial translation of research
- Independent and interdisciplinary researcher
Downloading a copy of our Job Description
Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.
Further Information
We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.
We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King\’s.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.
We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK.
Grade and Salary: £45,031 – £52,514 per annum inclusive of London Weighting Allowance
Job ID: 125025
Close Date: 28-Sep-2025
Contact Person: Michela Antonelli
Contact Details: Michela.antonelli@kcl.ac.uk
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Research Associate in AI and Medical Imaging for Prostate Cancer employer: KINGS COLLEGE LONDON
Contact Detail:
KINGS COLLEGE LONDON Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in AI and Medical Imaging for Prostate Cancer
✨Network Like a Pro
Get out there and connect with people in the field! Attend conferences, workshops, or even local meetups related to AI and medical imaging. You never know who might have a lead on your dream job or can introduce you to someone at King’s College London.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with Python and machine learning. Bring examples of your work or projects that demonstrate your skills in image analysis and algorithm development. Let them see what you can bring to the table!
✨Tailor Your Approach
Before any interview, do your homework! Understand the specific projects at King’s College London and how your background fits into their goals. Tailoring your conversation to show how you can contribute to their mission will definitely make you stand out.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team and contributing to cutting-edge research in prostate cancer.
We think you need these skills to ace Research Associate in AI and Medical Imaging for Prostate Cancer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight the skills and experiences that match the job description. We want to see how your background in AI, medical imaging, and programming fits into our project!
Craft a Compelling Supporting Statement: Your supporting statement is your chance to shine! Use it to explain how you meet the essential criteria and share specific examples of your work in machine learning and image analysis.
Show Your Passion for Research: Let us know why you're excited about this role! Share your enthusiasm for AI and medical imaging, and how you see yourself contributing to our mission at King's College London.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you can find all the details you need about the role there.
How to prepare for a job interview at KINGS COLLEGE LONDON
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, medical imaging, and machine learning. Be ready to discuss your experience with Python and relevant libraries like PyTorch and SciKit Learn. The interviewers will want to see that you can talk confidently about your technical skills and how they relate to the role.
✨Show Your Passion for Research
This position is all about pushing boundaries in research, so be prepared to share your enthusiasm for the field. Talk about any projects you've worked on that align with the goals of the Prostate Cancer UK project. Highlight your interest in translational research and how you envision contributing to the team.
✨Prepare for Team Dynamics
Since you'll be working in a multidisciplinary team, think about examples from your past experiences where collaboration was key. Be ready to discuss how you handle working under pressure and how you communicate with different specialists. This will show that you're not just a great researcher but also a team player.
✨Craft a Strong Supporting Statement
Your CV is important, but don’t underestimate the power of a well-crafted supporting statement. Clearly outline how your skills and experiences meet the essential and desirable criteria listed in the job description. Tailor it to reflect your understanding of the role and the impact you hope to make at King’s College London.
