Connectionists: Postdoc: Machine Learning and the Analysis of Medical Sensor Data (Edinburgh, UK)

Chris Williams ckiw at inf.ed.ac.uk
Sun Nov 17 15:33:11 EST 2013



Postdoc: Machine Learning and the Analysis of Medical Sensor Data

Applications are invited for an experienced researcher to develop and
validate advanced statistical methods for the analysis of data from a
novel multiplexed sensor in the lungs and blood vessels. The post is
part of a large Interdisciplinary Research Collaboration which
involves: the development of novel chemical sensors and detectors; the
development of inference methods to analyse the data produced and
infer the concentration of various pathological processes present so
as to provide doctors with information on the state of intensive care
unit patients; and the testing of the methods in in-vitro, ex-vivo and
in-vivo assay systems. The post will be supervised by Professor Chris
Williams, School of Informatics, University of Edinburgh.

The successful candidate will be a probabilistic machine-learning
researcher (or similar) keen to work on a challenging application
area. Over the duration of the project the richness and complexity the
sensed data and the number of data sources will increase. The
integration of information collected from different model systems will
be tackled using hierarchical Bayesian models. Professor Williams has
extensive experience of modelling and inference in an ICU setting, see
e.g. the work on factorial switching linear dynamical systems (Quinn,
Williams and McIntosh, IEEE Trans on Pattern Anal Mach Intell, 2009).

You will be self-motivated with the ability to take day-to-day
responsibility for the progress of the proposed work and collaborate
effectively with project partners from medicine, physics, chemistry
and engineering. There is potential for innovative methodological
developments in the modelling framework. The post offers the
opportunity to work in a world-class machine-learning research
environment, applying and extending cutting edge methods in an
important application area.

Vacancy Ref: : 	022769
Closing Date : 	13 Jan 2014
Salary: GBP 30,424 - 36,298
To apply: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=022769 
Informal enquiries: Professor Chris Williams: ckiw at inf.ed.ac.uk.
[I will be attending the NIPS conference 5-10 Dec and will be available 
to have informal discussions with interested candidates there]


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Scotland, with registration number SC005336.



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