PAMBAYESIAN: PAtient Managed  decision-support using Bayesian networks 

Queen Mary University of London

EPSRC Project (Intelligent Technologies to Support Collaborative Healthcare Programme)

Postdoctoral Research Assistant: Intelligent medical decision support systems

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 analytical skills and the ability to communicate well and work within a large inter-disciplinary team. Ideally, candidates should have experience in developing intelligent decision support systems and their associated algorithms (and especially some knowledge of Bayesian networks and probability theory) but this is not a requirement, as we will provide necessary training and continual professional development. However, we expect successful candidates to be self-motivated and quick learners in these areas. We also expect candidates to have an interest in a) the challenges of implementing intelligent algorithms that run on small devices and b) the need to incorporate expert judgment with data. Candidates should have completed (or be close to completing) a PhD in a relevant discipline (maths, computer science, statistics, engineering) before taking up the post.

Full details about the project and the way various different postdoctoral and PhD posts fit into the overall programme can be found at:

Candidates must read this before applying.

Details about the School Electronic Engineering and Computer Science (EECS) can be found at, and the Barts and the London School of Medicine and Dentistry (SMD) at

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 ( and Dr William Marsh (

To apply, please visit the Human Resources website on

The closing date for applications is 24 March 2017.

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

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