Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead innovative research in medical imaging, focusing on AI and machine learning.
- Company: Join a world-renowned Department of Radiology at a prestigious university.
- Benefits: Competitive salary, academic environment, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare through cutting-edge imaging research.
- Qualifications: Clinically qualified in radiology or nuclear medicine with a strong research background.
- Other info: Dynamic team atmosphere with a focus on equality, diversity, and inclusion.
The predicted salary is between 43200 - 72000 £ per year.
The Department of Radiology is an internationally competitive department undertaking innovative research in medical imaging. It consists of a multidisciplinary team of dedicated academic radiologists and imaging scientists, with active doctoral and post-doctoral research training programmes. The department undertakes world-leading research in several areas including Metabolic Imaging, MRI, PET, and image analysis.
This full-time university post is based in the Academic Department of Radiology with clinical sessions at Cambridge University NHS foundation Trust Hospital.
Our artificial intelligence (AI), machine learning (ML) and image analysis programme is growing and covers many modalities. This is a strategic area for the Department to develop in the coming decade, and is key for many biomedical developments across the campus.
The successful applicant will be expected to establish a portfolio of clinical imaging research projects which have a significant component of AI, ML or image analysis methods within them. Integration of imaging data with other data sources – such as clinical data, tissue, or liquid biomarkers – will be used to better stratify disease and predict or detect response to treatment.
The applicant will be clinically qualified, specialised in radiology or nuclear medicine, who has undertaken significant research in the areas of AI, ML, or image analysis and is currently working actively in a clinical imaging environment. The appointee will have a strong track record in these areas and a growing reputation as a leader in the field. It is expected that the appointee will broaden the research in the department into new, innovative areas for patient benefit.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a health assessment. This appointment also requires an Honorary Clinical Contract.
Click the \’Apply\’ button below to register an account with our recruitment system (if you have not already) and apply online.
Please ensure that you upload your Curriculum Vitae (CV), a covering letter and research publication list, along with details of three referees, one of which must be the most recent employer, no later than Thursday 25 September 2025.
Informal enquiries are welcome via email to Professor Ferdia Gallagher:
This opportunity is open to appointment at Clinical Assistant Professor, Clinical Associate Professor, or Clinical Professor level, depending on experience and qualifications. If you are applying for the Assistant or Associate Professor level, please apply through Please note only one post is available and will be offered at a level that reflects the merit of the successful candidate.
Please quote reference RQ47254 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
Clinical Professorship employer: Minderoo Centre for Technology and Democracy
Contact Detail:
Minderoo Centre for Technology and Democracy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical Professorship
✨Tip Number 1
Network like a pro! Reach out to colleagues, mentors, or even folks you’ve met at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your expertise! Prepare a short presentation or talk about your research in AI, ML, or image analysis. This can be a great way to impress potential employers and showcase your passion.
✨Tip Number 3
Don’t just apply; engage! When you apply through our website, follow up with a quick email to express your enthusiasm. It shows you’re serious and helps you stand out from the crowd.
✨Tip Number 4
Stay updated on trends! Keep an eye on the latest developments in medical imaging and AI. Being knowledgeable about current research can give you an edge during interviews.
We think you need these skills to ace Clinical Professorship
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in AI, ML, and image analysis. We want to see how your background aligns with our innovative research focus, so don’t hold back on showcasing your relevant skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about clinical imaging and how you plan to contribute to our department’s growth. Keep it engaging and personal – we love to see your enthusiasm!
Showcase Your Research Impact: When listing your publications, focus on those that demonstrate your leadership in AI and ML within clinical imaging. We’re looking for candidates who can push boundaries, so highlight any innovative projects or collaborations you've been part of.
Follow Application Instructions: Don’t forget to include all required documents: your CV, cover letter, publication list, and referee details. We recommend applying through our website to ensure your application is processed smoothly. Let’s make this easy for both of us!
How to prepare for a job interview at Minderoo Centre for Technology and Democracy
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research, especially in AI, ML, and image analysis. Be ready to discuss your past projects, methodologies, and outcomes in detail. This will show your depth of knowledge and passion for the field.
✨Familiarise Yourself with the Department's Work
Take some time to understand the current research initiatives and projects within the Department of Radiology. Knowing their focus areas, like metabolic imaging and integration of imaging data, will help you align your answers with their goals during the interview.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the department’s future directions, particularly regarding AI and ML in clinical imaging. This demonstrates your genuine interest and helps you assess if the role is the right fit for you.
✨Showcase Your Leadership Skills
As they’re looking for someone with a growing reputation as a leader, be prepared to discuss your leadership experiences. Share examples of how you've led research teams or projects, and how you plan to broaden the department's research into innovative areas.