PAMBAYESIAN: PAtient Managed decision-support using Bayesian networksEPSRC 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 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:
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.
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)
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