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Summer Internship 2026 - Scanner & Clinical Apps AI (UL)

Salary £23,780
Location Edinburgh /Hybrid

This is a Temporary, Full Time vacancy that will close in {x} days at {xx:xx} BST.

Summer Interns 2026

At Canon Medical Research Europe, helping care teams to get the best outcome for their patients is at the heart of everything we do. We strive to create technology that makes a meaningful difference to people’s lives, helping doctors restore their patients’ health and well-being.  We are part of a global organisation, collaborating with other development teams based in Japan, America and Canada.

We offer an inclusive, flexible working environment, by being an employer that trusts and respects its employees.  We understand the benefits of a diverse and engaged workforce and the importance of affording everyone dignity so that each individual adds value and can fulfil their potential.

We are looking for students or those in the early stages of their career to join our Summer Internship Programme 2026, a 3-month paid Internship between June and August 2026.

About the role:

Our combined Ultrasound (UL) Team is running a project focused on Machine Learning, Artificial Intelligence, and Image Analysis, particularly around enhancing ultrasound image quality using information extracted from prior imaging scans (e.g., MRI).

This provides an opportunity for the successful candidate to:

  • Develop hands-on experience in medical image processing
  • Work with real clinical ultrasound and MRI datasets
  • Explore cutting-edge AI techniques such as super-resolution, multi-modal fusion, and deep learning–based feature extraction
  • Contribute to a novel research direction with potential clinical impact
  • Collaborate with a multi-disciplinary team of engineers, scientists, and clinical experts

The internship is well-suited to students interested in applying modern AI methods to challenging real-world medical problems, while gaining experience with Python, PyTorch, image registration, and neural network development.

About you

Applications are welcomed from students of the following disciplines:

  • Computer Science / Artificial Intelligence / Software Engineering / Informatics / Mathematics / Physics / Engineering / Machine Learning / Medical Imaging

You should be at the following stage of your studies to apply:

  • Third year (entering final year after the summer) or final year undergraduates
  • Early-stage postgraduate students (MSc or PhD)
  • Digital skills academy graduate from Data Analysis or Software Development course

Relevant skills for these projects are Python Programming, Deep Learning and Image Processing.

Application Process

To be considered for this vacancy please apply below.  Closing date for all applications for the Summer Internship Programme is Sunday 11th January 2026. Following the closing date, a shortlist will be drawn up and successful candidates contacted to proceed to the next stage of the recruitment process.

The placements are planned to commence on Monday 1st June 2026, although there is flexibility in this.  The internships will adopt a hybrid working approach between our Edinburgh office and home working.  Based on recent feedback from previous interns, some time working in the office should be expected to fully benefit from the experience. 

Candidates are welcome to apply for more than one of our internship projects if they have a genuine interest in multiple topics.

The Company
Canon Medical Research Europe is a leading medical software research and development centre of excellence, generating breakthrough technologies and valuable intellectual property for Canon Medical Systems. Based in the diverse city of Edinburgh we employ over 100 people working as Software Engineers, Scientists, Clinical Specialists, Testers, and Business Support and are part of a global corporation headquartered in Japan. We develop next-generation medical imaging software to integrate with Canon Medical scanners and other diagnostic healthcare solutions which are installed in hospitals and healthcare centres across the globe.

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