12 وظيفة Research Associate In Surgical Ai For Tumour Resection في South Shields

Job number

MED05918

Faculties

Faculty of Medicine

Departments

Department of Surgery & Cancer

Salary or Salary range

£50,733 - £52,675 per annum

Location/campus

South Kensington Campus - Hybrid

Contract type work pattern

Full time - Fixed term

Posting End Date

21 Sept 2026

About the role

Applicants are invited to apply for a new vacancy at Postdoctoral Research Associate level in Surgical Vision and Artificial Intelligence (AI) for the development of AI methods for intraoperative tissue characterisation. The post is based within the Hamlyn Centre at Imperial College London, and the appointed applicant will carry out research at the South Kensington laboratories as well as at the Hammersmith and Charring Cross Hospitals. The Hamlyn Centre is dedicated to developing safe, effective and accessible imaging, sensing and robotics technologies that can reshape the future of healthcare for both developing and developed countries. The Hamlyn Centre is part of the Institute of Global Health Innovation and is supported by two stake-holding departments, Mechanical Engineering, and Surgery & Cancer.

The postholder will play a pivotal role in the development of novel AI techniques for image guided tissue characterisation during tumour resection procedures. This technology will enable accurate and highly personalised in vivo diagnosis and treatment with the aim of improving both the efficacy and safety of tumour resections. It is in response to the current paradigm shift and clinical demand for bringing into the operating theatre the latest technologies in cellular imaging and AI to allow for real-time tissue analysis and provide surgical guidance during tumour resection. To this effect, the role focuses on the integration of the following elements:

• Computer vision for cellular tumour analysis;
• AI for interpretable tissue characterisation.

The post is funded by the CRUK Convergence Science Centre Development Fund grant “Developing an Intelligent Multiscale Fluorescence-Guided Intraoperative Tool for Brain Tumour Resection” led by Dr Stamatia Giannarou.

What you would be doing

Key responsibilities include the development of novel Computer Vision and AI methods for interpretable tissue characterisation during tumour resection. This will enable accurate and highly personalised in-vivo diagnosis, aiming to improve efficacy and safety of tumour resections. A key application is the resection of High-Grade Gliomas in neurosurgery.

What we are looking for

Hold a PhD in Computer Vision, AI, Image Guided Interventions, or a closely related discipline, or equivalent research, industrial or commercial experience

• Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.

We are looking for high calibre applicants with expertise in at least a few from the following areas:

• Programming (C++, Python, etc)
• Machine Learning / AI
• Computer Vision
• Medical Image Analysis

Prior experience in medical applications and medical data processing will be an advantage.

What we can offer you

• The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
• Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression.
• As a member of research staff you have 10 development days to use to develop your skills and explore your career prospects

• Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).

• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Further information

This is a Full-Time, Fixed term for 12 months. The salary range is £50,733 - £52,675 per annum.

per annum, depending on level of experience and expertise. Research will be carried out at the Hamlyn Centre laboratories in South Kensington.

• Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £45,399 - £48,876 per annum.

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert before the stated closing date, should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

About Imperial

Welcome to Imperial, a global top-ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our web pages.

Proud signatory of the Armed Forces Covenant. We welcome applications from the Armed Forces community.

Our values are at the root of everything we do, and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.