Research Associate in Biomedical Engineering/Computing (Full time)

London South Bank University is a modern, dynamic university with a long history of leading the way in applied education and practice-led learning. With over 17,000 students and 2,000 staff from over 130 countries, we work together to foster the development of graduates, ready to address business and societal challenges.

We are highly commended as an Outstanding Entrepreneurial University and continue to be recognised as a leading global university for Reducing Inequalities. We are one of the leading modern London universities in the Guardian rankings and we are proud that our graduates are the highest paid on average amongst all London Modern universities.

The University forms a central part of the LSBU Group, London's first integrated tertiary education group. Comprising London South Bank University, South Bank Colleges, and South Bank Academies, we continue to lead the way on learner-centred, skills-focused education. Connectivity lies at the heart of all we do, and together we form a powerful network of learners, staff, alumni, employers and policymakers - united in our mission: to challenge social and economic inequalities through applied education, insight and partnership.

We are a powerhouse for inclusive education, enterprise and economic growth, connecting potential to opportunity and enabling people to thrive. Our Group network enables us to create learning pathways and connect people and organisations. This ensures learners are supported through the education system to achieve their full potential and can contribute their skills and energies locally and to wider society.

Our new strategy, Connecting, sets out a bold, ambitious vision for LSBU Group and it's developed in collaboration with colleagues, student groups, partners and stakeholders. Focused on delivering good jobs for all our learners, we are proud to be employer and skills led, delivering excellent professional and technical teaching which supports future talent and careers to deliver impact for London and beyond.

Through Connecting, we will redefine tertiary education for a global, technology-driven economy - rooted in London.

Turning passion into purpose

Our ambition is to create educational pathways that empower people of all backgrounds and talents to realise their aspirations, add to the knowledge base, and contribute their skills and drive to wider society. To realise our ambition, we need people with energy, courage and imagination, who are enthused by our vision and recognise our values as theirs; people who bring ideas to enrich our approach to learning, research and innovation; collaborative people who love creating and spreading knowledge; brilliant people who seek growth and yearn to make a positive, personal difference.

At LSBU Group, you will get to contribute to a vibrant and dynamic culture, which is fuelled by purpose, built around people, and is genuinely diverse. You will be trusted and recognised for your unique contribution. You will be part of a great team, turning your passion into purpose.

The role involves joining the Bioscience and Bioengineering Research Centre and supporting the international PROSPER study, which is developing AI-enabled endoscopic imaging tools to predict post-operative recurrence in Crohn's Disease. Working with Professor Enrico Grisan, you will take the lead on analysing endoscopic video and image data - including virtual chromoendoscopy (VCE) and probe-based confocal laser endomicroscopy (pCLE) - developing and validating deep learning models for automated feature detection.

This full-time, one-year post offers the successful candidate the opportunity to contribute to the multimodal integration of endoscopic imaging with histology and clinical data, working towards a fused AI assessment system, within a large international consortium of gastroenterologists, pathologists and AI engineers spanning centres including University College Cork and KU Leuven.

What you will bring:

• A PhD in Biomedical Engineering, Computer Science, or a related field, with demonstrable experience in medical image and/or video analysis.
• Strong practical skills in deep learning frameworks (e.g. PyTorch/TensorFlow) and a track record of applying computer vision methods to clinical or biological imaging data.
• Experience working with endoscopy data and/or digital pathology.
• Experience working with multimodal data, and an interest in fusing imaging with other data types such as histology and clinical records.
• Excellent communication skills and the ability to work collaboratively within a large, multidisciplinary, international research consortium.

As a leading Higher Education Institution, LSBU offers staff a highly competitive benefits package including holiday entitlement starting at 26.5 days per annum, professional development opportunities and flexible working.

The closing date for applications is Wednesday 9th September 23.59 pm. Interview/assessment - 17th/18th September 2026.

We are happy to talk flexible working and reasonable adjustments and aim to make our recruitment and selection process accessible to all, please contact us to discuss any support you need. The diversity of LSBU's staff and students is a source of our strength and the richness of ideas and perspectives that this diversity brings makes LSBU a unique place to work.

Depending on your circumstances, this role may be eligible for sponsorship under the UKVI Skilled Worker route, more details on this can be found within the candidate pack.

If you have any questions related to your application, please email the recruitment team hrdsr@lsbu.ac.uk.

We reserve the right to close the vacancy early, should we receive sufficient applications.