PAMBAYESIAN: PAtient Managed  decision-support using Bayesian networks  Queen Mary University of London EPSRC Project (Intelligent Technologies to Support Collaborative Healthcare Programme)

How would you like to play a key role in a major new collaborative project that has the potential to improve the well-being of millions of people? The project, called PAMBAYESIAN (Patient Managed Decision-Support using Bayesian Networks) aims to develop a new generation of intelligent medical decision support systems, applicable to home-based and wearable real-time monitoring systems for chronic conditions including rheumatoid arthritis, diabetes in pregnancy and atrial fibrillation.  The project team includes world-leading researchers from both the School of Electronic Engineering and Computer Science (EECS) and clinical academics from Barts and the London School of Medicine and Dentistry (SMD). The collaboration is underpinned by extensive research in EECS and SMD, with access to digital health firms that have experience developing patient engagement tools for clinical development. The collaboration with such organisations ensures that there will be excellent future career opportunities for those candidates who ultimately wish to work in the private, rather than public, sector.

 We invite applications from candidates who have excellent communication skills and the ability to work within a large inter-disciplinary team. This post involves working with other researchers who are collaboratively developing the intelligent systems and algorithms on small devices. For this particular post the successful candidate will a) Help understand the context of using the new systems by using in-context structured interviews, building an understanding of clinician and patient needs and investigating the extent of adaptation required in an effective interaction design. b) Help ensure use-related safety of the new systems by applying techniques in safety engineering of identifying hazards c) Support design prototyping and validation with and for the different stakeholder groups, using interaction design experiments such as role-play of scenarios with patients and professionals.

We do not require candidates to have extensive experience in all of the areas relevant to the job responsibilities. We will provide necessary training and continual professional development. However, we expect successful candidates to be self-motivated and quick learners in these areas. Candidates should have completed (or be close to completing) a PhD in a relevant discipline (social science, computer science) before taking up the post.

www.eecs.qmul.ac.uk/~norman/projects/PAMBAYESIAN.

Candidates must read this before applying.

Details about the School Electronic Engineering and Computer Science (EECS) can be found at www.eecs.qmul.ac.uk, and the Barts and the London School of Medicine and Dentistry (SMD) at  www.smd.qmul.ac.uk.

This is a full time post for 3 years starting 1 July 2017 or as soon as feasible after this date. The starting salary will be in the range of £35,672 - £39,745 per annum inclusive of London allowance. Benefits include 30 days annual leave, 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. 

Informal enquiries should be addressed to both Prof Norman Fenton (n.fenton@qmul.ac.uk) and Dr William Marsh (d.w.r.marsh@qmul.ac.uk)

To apply, please visit the Human Resources website on http://www.jobs.qmul.ac.uk

 Interviews are expected to be held on 5-6 April 2017.

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