Postdoctoral Research Assistant in Multimodal Analysis to understand medical procedures.

University-of-Oxford; Oxford; On-site; GBP 39,000 - 48,000; Full time

Job summary

University of Oxford invites applications for a Postdoctoral Research Assistant in Multimodal Analysis to understand medical procedures. The post is based at the Institute of Biomedical Engineering, Headington, Oxford, and is funded by UKRI for 18 months as part of the Noble group.

You will develop video/multimodal models, collaborate with clinical collaborators, and translate blue-sky research questions into practical experiments in healthcare settings.

Qualifications

• PhD/DPhil (or near completion) with publications in medical image/video analysis, computer-assisted intervention, or video analysis in computer vision.
• Solid experience in medical video/multimodal analysis and building learning approaches from sparse data.
• Ability to collaborate with clinicians and shape blue-sky research questions into concrete experiments.

Responsibilities

• Design and pilot test ML-based automated medical video/multimodal analysis models.
• Collaborate with clinicians to understand procedures and evaluate model usability and impact.
• Bridge theory and application, advancing models for simulated and real clinical scenarios.

Education

PhD in a relevant field

Tools

Python

TensorFlow

PyTorch

Job description

Postdoctoral Research Assistant in Multimodal Analysis to understand medical procedures.

Institute of Biomedical Engineering, Old Road Campus, Headington, OX3 7DQ

We are seeking a creative and highly motivated postdoctoral researcher to join the Turing AI World-Leading Fellowship research programme lead by Professor Alison Noble. Topics in the research programme include single- and multi-modal video-based human-AI collaboration, federated learning for healthcare collaboration and partnership, and applied research to understand human skill in healthcare settings and AI to support healthcare professional skills training. The appointee will be a technical researcher joining the AI to understand human skills strand of the research programme. This post is focused on bridging theory and application of medical video/multimodal analysis and medical procedure modelling. The research will involve building video/multimodal models that can analyse medical procedures and evaluate how usable they are. Evaluation may involve quantitative studies (model performance) and qualitative studies (human factors assessment).

The appointee will be part of the Noble research group at the Institute of Biomedical Engineering, based at the Old Road Campus in Headington. The post is funded by UKRI and is fixed-term for 18 months.

You will be working in a small, highly motivated interdisciplinary team working towards a shared goal. You will be responsible for the design and pilot testing of machine learning-based automated medical video/multimodal analysis models. The research will include work that aims to understand medical procedures using video/multimodal analysis. This requires solid technical experience in medical video/multimodal analysis and building efficient learning approaches from sparse data, as well as open-mindedness to co-develop blue-sky research questions with clinical collaborators from first principles. The work will involve both computational methods research and collaboration with experts in clinical medicine and human factors to design and evaluate models in simulated and real clinical scenarios. Evaluation may involve quantitative studies (model performance) and qualitative studies (human factors assessment).

You should hold a relevant PhD/DPhil (or near completion) with publications in medical image/video analysis, computer-assisted intervention, or video analysis in computer vision. Knowledge of a specific medical procedure is not a requirement but a genuine interest in research at the interface of machine learning with clinical demand and the curiosity to develop blue-sky research questions is.

Informal enquiries may be addressed to Dr Cheng Ouyang (email: [e-mail])

For more information about working at the Department, seewww.eng.ox.ac.uk/about/work-with-us/

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

Salary (£) : Grade 7: Grade 7: £39,424 - £47,779 per annum, including Oxford University Weighting (OUW)