Postdoctoral Research Assistant in Computational Health Informatics University of Oxford, Institute of Biomedical Engineering United Kingdom

Postdoctoral Research Assistant in Computational Health Informatics


Institute of Biomedical Engineering, Old Road Campus Building, Headington, Oxford


Grade 7: £32,236 - £39,609 p.a.


We are seeking a full-time Postdoctoral Research Assistant in Computational Health Informatics to join the Computational Health Informatics (CHI) Laboratory, in the Institute of Biomedical Engineering, Department of Engineering Science (Headington). The post is funded by the EPSRC, and is fixed-term for up to 24 months (with a possibility of an extension).

 

This post is part of a collaboration with researchers in the Nuffield Department of Clinical Neurosciences and the Oxford University Hospitals NHS Foundation Trust. You will be responsible for developing machine learning methods to improve our understanding of patient physiological condition and patient pathways through the hospital. This will be based on developing tools for analysing very large electronic health record (EHR) datasets from the Oxford University Hospitals NHS Foundation Trust. The post will involve collaborative research with the Oxford-Suzhou Centre for Advanced Research (OSCAR), the university science division’s first overseas research institute, in which CHI Lab has a second site. The Research Assistant will also interact positively and professionally with other collaborators and partners within the department and elsewhere in the University, and beyond in industry and academia.

 

You should have a PhD (or be close to completion) in machine learning, computer science, signal processing, or computational statistics (or cognate disciplines and have experience of working in a highly interdisciplinary clinical and engineering team. You should also have a good knowledge of machine learning algorithms, as well proven competence in programming methods in Matlab, Python or similar languages. Fluency in Mandarin Chinese, including fluency in technical and clinical vocabulary (for collaboration with and development of OSCAR programmes) will be advantageous.

 

Informal enquiries may be addressed to Professor David Clifton using the email address below.

 

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.

 

Only online applications received before 12.00 noon on Friday 29 March 2019 can be considered.

 

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

 

Contact Person : Professor David Clifton

Vacancy ID : 139496


Contact Phone :

Closing Date : 29-Mar-2019


Contact Email : davidc@robots.ox.ac.uk


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