Research Associate / Senior Research Associate in Computer Vision and Machine Learning (Medical Imaging)

The role

To work as a Research Associate / Senior Research Associate on a project to develop and validate technology to enhance orthopaedic surgical planning workflows, through advanced analysis of clinical imaging data and development of clinician-facing software. We are seeking motivated post-doctoral candidate to join this exciting collaborative project and a team of orthopaedic surgeons, engineers, and computer scientists based between University of Bristol and University of Oxford.

What will you be doing?

The postholder will have responsibility for leading the technical delivery of the work including the development, training, and testing of computer vision and machine learning tools for AI-automated anatomical landmark detection and segmentation of clinical images. Building upon previous work of the group, the postholder will also be responsible for the integration and optimisation of this code into a clinician-facing annotation and surgical planning software package, which include work in user-interface design and planning for future deployment in the health service. This is a research-intensive role with scope for significant technical leadership, interdisciplinary collaboration, and contribution to research outputs, software, high-quality publications, and clinical translation.

You should apply if

You have:

• A PhD (or equivalent research experience) in computer science, biomedical engineering, machine learning, robotics, or a related discipline.
• For Senior Research Associate: Substantial post-doctoral / industry experience.
• Strong Python programming and software engineering skills
• Demonstrated expertise in one or more of:
• Computer vision and Machine learning in development of AI for anatomical landmark detection and/or finite element modelling
• 2D/3D image segmentation using deep learning
• 3D-2D or multimodal image registration
• A track record of high-quality research outputs

Additional information

Contract type: Fixed Term (FTC) until 31/12/2026

Work pattern: 0.8 - 1.0 FTE, depending on the preferences of the appointed applicant and/or the needs of the School

Grade:

Research Associate Grade I (Pathway 2a)/Senior Research Associate Grade J (Pathway 2b)

Salary:

Grade I: £29,906 - £44,746 per

annum (pro rata)

Grade J: £44,746 - £50,253 per

annum (pro rata)

School/Unit: Bristol Medical School

Shift pattern: Full or Part-Time

This advert will close at 23:59 UK time on 12/02/2026

For any informal queries please contact:

Fengyuan Liu: fengyuan.liu@bristol.ac.uk

Simon Abram: simon.abram@bristol.ac.uk (Consultant Senior Lecturer in Trauma and Orthopaedics)

Our strategy and mission

We recently launched our strategy to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives - particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.

£29,906 to £50,253 per annum (pro rata), Grade I / J

We are seeking motivated post-doctoral candidate to join this exciting collaborative project and a team of orthopaedic surgeons, engineers, and computer scientists based between University of Bristol and University of Oxford., * A PhD (or equivalent research experience) in computer science, biomedical engineering, machine learning, robotics, or a related discipline.

• For Senior Research Associate: Substantial post-doctoral / industry experience.
• Strong Python programming and software engineering skills
• Demonstrated expertise in one or more of:
• Computer vision and Machine learning in development of AI for anatomical landmark detection and/or finite element modelling
• 2D/3D image segmentation using deep learning
• 3D-2D or multimodal image registration
• A track record of high-quality research outputs

We recently launched our strategy to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives - particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.

£29,906 to £50,253 per annum (pro rata), Grade I / J

The postholder will have responsibility for leading the technical delivery of the work including the development, training, and testing of computer vision and machine learning tools for AI-automated anatomical landmark detection and segmentation of clinical images. Building upon previous work of the group, the postholder will also be responsible for the integration and optimisation of this code into a clinician-facing annotation and surgical planning software package, which include work in user-interface design and planning for future deployment in the health service. This is a research-intensive role with scope for significant technical leadership, interdisciplinary collaboration, and contribution to research outputs, software, high-quality publications, and clinical translation.