Postdoctoral Research Assistant - Computational Health Informatics

University of Oxford - Institute of Biomedical Engineering

Old Road Campus Building, Headington, Oxford

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

This post is part of the “CRyPTIC” collaboration with researchers in the Nuffield Department of Medicine and Public Health England (the UK Centre for Disease Control). You will be responsible for developing machine learning methods to provide estimates of antibiotic resistance from binary data acquired from sequencing the genome of tuberculosis bacteria. (This post does not require a background in bioinformatics or knowledge of genomics, and focuses on the machine learning challenges for this application.) 

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 team. A strong record of publication in engineering or computer science literature together with a good knowledge of machine learning algorithms is essential. You will also have proven competence in mathematics and programming data analysis methods in Matlab or Python.

Informal enquiries may be addressed to Professor David Clifton:

Only applications received before 12.00 midday on 4 January 2017 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.

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South East England