Postdoctoral Research Assistant – Temporal Reasoning and Ultrasound Video Analysis
Department of Engineering Science, Institute of Biomedical Engineering, Old Road Campus Research Building, Headington, Oxford, OX3 7DQ
We are seeking a creative and highly motivated postdoctoral researcher to join the Turing AI World-Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post focuses on bridging theory and application of temporal reasoning and ultrasound video analysis from the human-AI collaboration perspective. You will be part of the Noble research group at the Institute of Biomedical Engineering, based at the Old Road Campus in Headington. The full-time post is funded by UKRI and is fixed-term for 24 months.
Responsibilities
- Design and pilot testing of machine-learning-based automated ultrasound video analysis models that incorporate temporal reasoning.
- Research to understand how human behaviour may change with temporal reasoning ultrasound AI tools.
- Collaborate with clinical domain experts to design and evaluate models in simulated and real clinical scenarios.
- Conduct quantitative studies (model performance) and qualitative studies (human factors assessment).
Qualifications
- Relevant PhD/DPhil (or near completion).
- Publications in medical image analysis or computer vision video analysis.
- Interest in research at the interface of machine learning with real-world applications and use.
- Knowledge of ultrasound imaging not required but advantageous.
Salary
£39,424 – £47,779 per annum (Inclusive of Oxford University Weighting)
Postdoctoral Research Assistant in Temporal Reasoning and Ultrasound Video Analysis in Oxford employer: Corehr
Sheffield Hallam University is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration within the Smart Interactive Technologies Lab. As a Research Fellow, you will have access to cutting-edge research infrastructure and the opportunity to contribute to impactful projects aimed at improving maternal health outcomes, all while benefiting from a supportive environment that prioritises professional growth and development. Join us in making a meaningful difference in healthcare through responsible and human-centred digital innovation.
