The Department of Veterinary Medicine at the University of Cambridge is offering the Senior Clinical Training Scholarship in Diagnostic Imaging for veterinary graduates interested in advanced specialist training. This prestigious residency programme provides hands-on experience in radiology, ultrasonography, MRI, and CT while supporting professional development through research, teaching, and clinical practice.
The University of Cambridge was founded in 1209 and is one of the oldest and most prestigious universities in the world. It was established by scholars who left Oxford after a dispute and later grew into a leading centre for education and research. Over the centuries, the university has produced many famous scientists, writers, and leaders, including Sir Isaac Newton and Charles Darwin. Today, Cambridge is internationally recognised for its academic excellence and innovation.
Table of Briefs
| Scholarship Details | Information |
|---|---|
| Scholarship Name | Senior Clinical Training Scholarship in Diagnostic Imaging |
| Institution | University of Cambridge |
| Department | Department of Veterinary Medicine |
| Scholarship Award | £29,600 per annum |
| Start Date | Monday, 2 November 2026 or as soon as possible thereafter |
| Duration | 1 year initially, renewable up to 3 years |
| Field of Study | Veterinary Diagnostic Imaging |
| Training Areas | Radiology, Ultrasonography, MRI, CT |
| Approved By | European College of Veterinary Diagnostic Imaging |
| Application Method | Email submission |
| Interview Date | 19 June 2026 |
| Reference Number | PP49344 |
Background
Diagnostic imaging plays a major role in modern veterinary medicine, helping veterinarians diagnose and treat animal diseases accurately. This scholarship provides advanced residency-level training for veterinary professionals who want to build a career in diagnostic imaging and specialist veterinary practice.
The programme combines clinical service, academic learning, teaching responsibilities, and research opportunities. Scholars will work closely with experienced radiologists and clinicians while developing practical expertise in imaging technologies used in veterinary hospitals worldwide.
Eligibility Criteria
Applicants must meet the following requirements:
- Must be a Member of the Royal College of Veterinary Surgeons (RCVS), or hold a veterinary degree that qualifies for membership.
- Must have completed:
- A recognised internship, or
- At least two years of experience in small animal practice.
- Must be eligible to work in the UK.
- Candidates should have a strong interest in veterinary diagnostic imaging and postgraduate specialist training.
Benefits
The scholarship provides a competitive tax-free stipend of £29,600 annually. Initially awarded for one year, the programme may be renewed yearly for up to three years based on satisfactory performance and review.
Training includes:
- Veterinary radiology
- Ultrasonography
- Magnetic resonance imaging (MRI)
- Computed tomography (CT)
Scholars are also expected to:
- Participate in the department’s clinical services
- Join out-of-hours and first-opinion clinical rotations
- Teach veterinary students in small groups
- Participate in research and publication projects
- Register with the ECVDI Diploma programme
Application Process
Applicants must prepare the following documents:
- Completed SCTS Application FormÂ
- Curriculum Vitae (CV)
- Covering Letter explaining:
- Interest in the scholarship
- Career goals
- Motivation for joining the Department of Veterinary Medicine
Applications must be submitted by email as a single attachment to:
Email: vetmed@vet.cam.ac.uk
Important Dates
Application Deadline: 2 June 2026.
Conclusion
The Senior Clinical Training Scholarship in Diagnostic Imaging is a prestigious opportunity for veterinary graduates seeking advanced specialist training in diagnostic imaging. With world-class clinical exposure, research opportunities, expert mentorship, and academic development, this scholarship can significantly strengthen a candidate’s career in veterinary medicine and radiology.