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    Postdoctoral Research Assistant in Human-AI Collaboration - Oxford, United Kingdom - University of Oxford

    University of Oxford
    University of Oxford Oxford, United Kingdom

    3 weeks ago

    Default job background
    Full time
    Description
    We are looking for a

    creative and highly motivated postdoctoral researcher to join the new 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.
    Topics in the research programme include single- and multi-modal video-based human-machine collaboration, federated learning for healthcare collaboration and partnership, applied research to understand human skill in healthcare settings, and an investigation of different AI scientist career mobility schemes.

    The researcher will be part of the Noble research group at the Institute of Biomedical Engineering, based at the Old Road Campus in Headington.

    This full-time post is funded by the UKRI and is fixed term for up to 2 years in the first instance.

    You will be responsible for the design and testing of machine-learning based algorithms for HAIC. You will work with clinical domain experts to develop tools and evaluate them.

    The choice of the specific clinical task(s) will be defined in the initial phase of the project which will involve discussions with clinical groups interested in HAIC.You will hold a relevant PhD/DPhil (or be near completion) in machine learning, computer vision or biomedical image analysis, together with relevant experience.

    Publications/presentations in top conferences and journals in the discipline of work including as a first author is essential, as well as experience of original deep learning in imaging architecture design and evaluation.

    For more information about working at the Department, see Only online applications received before midday on 10 May 2024 can be considered.

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