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- Tasks: Develop AI for radiotherapy to improve patient outcomes and treatment efficiency.
- Company: Join the Institute of Cancer Research, a leader in oncology research.
- Benefits: Enjoy a competitive salary, professional development, and access to cutting-edge facilities.
- Why this job: Make a real impact in cancer treatment with innovative AI solutions.
- Qualifications: PhD in computational science or related field; Python programming experience required.
- Other info: Collaborate with top researchers and attend conferences to enhance your career.
The predicted salary is between 45600 - 51450 £ per year.
Radiotherapy & Imaging, The Institute of Cancer Research
Deadline: 15 May 2026.
Salary: £45,600 to £51,450, from £45,600 in line with the PDTF pay scale, dependent on relevant Postdoctoral experience.
Under the guidance of Dr Matthew Blackledge, we are seeking to recruit a Postdoctoral Training Fellow to contribute to the development of treatment‑integrated, multimodal agentic AI to drive a step‑change in clinical radiotherapy by:
- improving patient outcomes for cancers of unmet clinical need;
- increasing the efficiency of RT by enabling safe ultra‑hypofractionated treatments.
The successful candidate will play a key role in developing vision‑language models (VLMs) to combine imaging data with human gestures (including eye‑gaze and voice‑dictated prompts) for robust tumour delineation, and innovating Bayesian‑enhanced AI to propagate uncertainties through the agentic workflow. The role will include attendance at relevant conferences and workshops, in addition to regular consultation with medical experts and publication of research in high‑impact journals.
Qualifications
- A PhD in computational science, artificial intelligence and/or image processing
- Practical experience with Python programming
- Experience with medical datasets, including imaging, clinical reports and/or radiotherapy
- Candidates who are nearing completion of their PhD may apply, but confirmation of an awarded PhD is required within 6 months of employment
The ICR has a workforce agreement stating that Postdoctoral Training Fellows can only be employed for up to 7 years as PDTF at the ICR, providing total postdoctoral experience (including previous employment at this level elsewhere) does not exceed 7 years.
About the Group
The Blackledge Lab is based at the Institute of Cancer Research (ICR) in London, England. The lab was founded in 2019 with a focus on understanding the interface between medical imaging and computational science in oncology. In particular we aim to develop techniques that monitor imaging changes that inform on patient response and toxicity following radiotherapy. Our enthusiastic team of scientists is passionate to translate their research into clinically practical solutions to ensure that patients can benefit from emerging computational techniques. We actively engage with commercial partners to transfer our research into clinical tools.
The Division of Radiotherapy and Imaging investigates new imaging methods to diagnose cancer and ways in which advances in technology and molecular biology can improve radiation treatment. It is also increasingly concerned with the use of imaging to evaluate the response to treatment in vivo, through techniques measuring aspects of tumour biology. Researchers in the division are also interested in developing ways to increase the effectiveness of radiotherapy by combining it with other treatments and developing multimodality imaging to evaluate response to treatment in vivo.
Benefits
- A dynamic and supportive research environment
- Access to state‑of‑the‑art facilities and professional development opportunities
- Collaboration with leading researchers in the field
- Competitive salary and pension
Contact: Dr Matthew Blackledge.
Postdoctoral Training Fellow - Artificial Intelligence for Radiotherapy employer: Findauniversity Ltd.
Contact Detail:
Findauniversity Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Training Fellow - Artificial Intelligence for Radiotherapy
✨Network Like a Pro
Get out there and connect with people in the field! Attend conferences, workshops, and seminars related to AI and radiotherapy. We can’t stress enough how important it is to build relationships with professionals who might help you land that dream job.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with Python programming and any projects involving medical datasets. We want to see your passion and expertise shine through!
✨Ask Questions
During interviews or networking events, ask insightful questions about the research and projects at the Blackledge Lab. This shows your genuine interest and helps you stand out. Plus, it gives you a better idea of whether the role is right for you!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to see what you bring to the table!
We think you need these skills to ace Postdoctoral Training Fellow - Artificial Intelligence for Radiotherapy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in computational science and AI. 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 AI in radiotherapy and how you can contribute to our team. Keep it engaging and personal – we love to see your enthusiasm!
Showcase Your Technical Skills: Since practical experience with Python and medical datasets is key, make sure to highlight any relevant projects or experiences. We’re looking for candidates who can hit the ground running, so show us what you’ve got!
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, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Findauniversity Ltd.
✨Know Your Stuff
Make sure you brush up on your knowledge of artificial intelligence, particularly in the context of radiotherapy. Familiarise yourself with the latest advancements in vision-language models and Bayesian-enhanced AI. Being able to discuss these topics confidently will show that you're not just a candidate, but a passionate expert.
✨Showcase Your Experience
Prepare to talk about your practical experience with Python programming and medical datasets. Have specific examples ready that demonstrate how you've used these skills in past projects. This will help the interviewers see how your background aligns with their needs.
✨Engage with the Team's Vision
Research the Blackledge Lab and its focus on the intersection of medical imaging and computational science. Be ready to discuss how your goals align with their mission to improve patient outcomes. Showing genuine interest in their work can set you apart from other candidates.
✨Ask Thoughtful Questions
Prepare some insightful questions about the role, the team dynamics, or ongoing projects. This not only shows your enthusiasm but also helps you gauge if this is the right fit for you. Questions about collaboration with commercial partners or future research directions can spark engaging conversations.