How would you like to play a key role in a new collaborative project that has the potential to improve the well-being of millions of people? The project, called REALM-AI (REseArch Links for Medical AI: Management of musculo-skeletal injury) aims to develop intelligent medical decision support systems for conditions affecting joints and muscles (musculo-skeletal or MSK conditions). The project will investigate whether the AI is ‘strong’ enough to be applicable to meet needs in both the UK and Turkey.
The collaboration includes both medical and decision support groups at Hacettepe University (HU), Ankara and at QMUL in London. HU has the leading medical school in Turkey which will provide its expertise in the public health system. The project will establish an institutional link between HU and QMUL for AI in medical decision support. In the UK, the project is led from the Risk and Information Management group in Computer Science (see www.eecs.qmul.ac.uk), building on an existing collaboration with Sports and Exercise Medicine in the medical school (see www.smd.qmul.ac.uk.)
Our prototype MSK system will in future make more effective use of physiotherapists in remote areas of Turkey where health personnel are often in short supply, also allowing the team to study the benefits of eHealth solutions in a non-European health system. In particular, testing and refining an existing MSK AI system developed in the UK, will allow us to evaluate whether the AI’s ‘intelligence’ is general enough to transfer to a new environment.
The successful candidate will have experience of the analysis of data related to medical conditions, and have or be about to submit a PhD in a related area in Computer Science, Mathematics, Statistics, Engineering or related fields. It is essential to have programming ability in one or more of: R, other statistical packages or programming languages (e.g. Java, Python, C++) and knowledge of statistical analysis methods and/or experience with relevant statistical software. Candidates will ideally have experience of interdisciplinary projects combining medicine with engineering or computer science and experience of working with Bayesian networks and have excellent communication skills, analytical skills. Further of the project can be found at: www.realmAI.org
This part time post (0.8FTE) starts on 1 July 2018 (or as soon as feasible after this date) until 14 February 2020. The starting salary will be £32,956 – £36,677 per annum (pro rata) inclusive of London allowance. Benefits include 30 days annual leave (pro rata), defined benefit pension scheme and interest-free season ticket loan.
Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.
To apply, please visit the Human Resources website on http://www.jobs.qmul.ac.uk and search for reference QMUL14706.
The closing date for applications is 31 May 2018. Interviews are expected to be held shortly thereafter.
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QMUL is proud to be a London living wage employer.
Offerd Salary£35.000 - £40.000 per year
ExperienceLess than 1 Year