英國牛津大學(xué)2024年招聘博士后職位（人智協(xié)同）

牛津大學(xué)（University of Oxford），簡稱“牛津”（Oxford），位于英國牛津，是一所公立研究型大學(xué)，采用傳統(tǒng)學(xué)院制。是羅素大學(xué)集團成員，被譽為“金三角名校”、“G5超級精英大學(xué)”，全球大學(xué)校長論壇成員。

Postdoctoral Research Assistant in Human-AI Collaboration

University of Oxford

United Kingdom

May 10, 2024

Contact:N/A

Offerd Salary:£36,024 - £44,263

Location:N/A

Working address:N/A

Contract Type:Other

Working Time:Full time

Working type:N/A

Ref info:N/A

Postdoctoral Research Assistant in Human-AI Collaboration

Department of Engineering Science, Institute of Biomedical Engineering, Old Road Campus Research Building, Headington, Oxford, OX3 7DQ

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.

Informal enquiries may be addressed to Professor Alison Noble (alison.noble@eng.ox.ac.uk).

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

Only online applications received before midday on 10 May 2024 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

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

Contact Person : Professor Alison Noble Vacancy ID : 172102 Contact Phone : Closing Date & Time : 10-May-2024 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : alison.noble@eng.ox.ac.uk Salary (£) : £36,024 - £44,263 per annum

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