ACAD108448

University of Bristol; Bristol; On-site; GBP 40,000 - 50,000; Full time

Job summary

A research university in Bristol is seeking a Research Associate / Senior Research Associate to develop and validate technology for orthopaedic surgical planning. This role involves leading the development of computer vision and machine learning tools, integrating them into software, and contributing to significant research outputs. The ideal candidate will have a PhD or equivalent in a relevant field, strong Python programming skills, and a track record of high-quality research. This position offers a unique opportunity for interdisciplinary collaboration and technical leadership.

Qualifications

• PhD (or equivalent research experience) in a relevant field.
• Substantial post-doctoral / industry experience for Senior Research Associate.
• Strong Python programming and software engineering skills.

Responsibilities

• Lead the technical delivery of the project including development of AI tools.
• Integrate and optimize code into clinician-facing software.
• Contribute to research outputs, software and high-quality publications.

Skills

Python programming

Computer vision

Machine learning

Deep learning

Image segmentation

Education

PhD in Computer Science, Biomedical Engineering, Machine Learning, Robotics, or related discipline

Job description

Overview

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 a motivated post-doctoral candidate to join this exciting collaborative project with a team of orthopaedic surgeons, engineers, and computer scientists based between University of Bristol and University of Oxford.

Responsibilities

• 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.

Qualifications

• 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.