[Comp-neuro] Fully funded PhD position in: Machine learning in multi-variate data processing / integration and analysis for clinical diagnostics and prognostics
A.Soltoggio at lboro.ac.uk
Fri Nov 6 13:00:57 CET 2015
*Fully funded PhD position in: Machine learning in multi-variate data
processing / integration and analysis for clinical diagnostics and
A fully funded PhD position is available in a multi-disciplinary project
between the School of Science and the School of Business and Economics,
Loughborough University, UK, on the topic of machine learning in
multi-variate data processing / integration and analysis for clinical
diagnostics and prognostics.
Loughborough University is ranked 11th in the 2016 UK League Table Ranking (
http://www.thecompleteuniversityguide.co.uk/loughborough/performance , and
is located in Loughborough, a town well connected to London by a 1h20m
journey by train.
*Research. *The application of advanced analytical techniques to the
discovery and implementation of human-borne Chemical, Biological,
Radiological and Nuclear (CBRN) markers of interest requires large numbers
of samples taken from a highly variable sampled population. Efficient
progress in this enterprise is limited by the current limits on the speed
and sophistication of the data processing and multivariate analysis of the
analytical system outputs. This studentship will start the exploration of
the boundary between advanced analytical science (sensory capability) and
machine learning, including neural and deep learning. It will be part of
what is intended to be an enduring collaboration between researchers in
Chemistry, Computer Science, Mathematics and Information Science. The
supervisory team is composed of Dr. Andrea Soltoggio, expert in Artificial
Intelligence and Neural Learning, and Dr. Martin Sykora, expert in Machine
Learning, Data Mining and Big Data. The academic team supporting this
project will include:
Prof. C. L. Paul Thomas Chemistry, markers and detection
Prof. Tom Jackson, Centre for Information Management, applied and theory
based knowledge management
Dr. Iain Phillips, Department of Computer Science, computer networks and
high performance computing
Dr. Eugenie Hunsicker, Department of Mathematics, statistical techniques
*Working environment.* The student, based at the Computer Science
Department http://www.cs.lboro.ac.uk, School of Science, will work and
collaborate with diverse research groups: the Center for Analytical Science
(Chemistry Department) with access to research of the Toxi-triage H2020
project (http://cordis.europa.eu/project/rcn/194860_en.html)), and the
Center for Information Management (CIM) http://www.lboro.ac.uk/research/cim/.
Loughborough University offers cutting-edge computing capabilities with a
Hydra High Performance Computing cluster, a 1956-core 64-bit Intel Xeon
cluster supplied by Bull, and GPUs computing capabilities.
*Requirements.* The ideal candidate holds (or is about to obtain) a
first-class honour undergraduate/postgraduate degree (or equivalent) in
Computer Science, Mathematics, Statistics, Electrical or Electronic
Engineering, or has authored publications in recognised
conferences/journals. Independent working skills are valued as well as the
capability of working in a team. Collegiality and interpersonal skills are
essential. Excellent English language skills are highly desired (see
requirements here http://www.lboro.ac.uk/international/englang/index.htm)
Start: January 2016.
Duration: 3 years.
Scholarship: £14,057 per annum plus tuition fees at the UK/EU rate
(currently £4,052 p.a.)
Application deadline: 16 November 2015.
*Enquiries and applications.*
Informal enquiries are encouraged and to be addressed to Dr. Andrea
Soltoggio (a.soltoggio at lboro.ac.uk). Interested candidates are invited to
submit an application at http://www.lboro.ac.uk/study/apply/research/including
a CV, the names and addresses of two referees, and a statement of research
interest (maximum 300 words).
Dr. Andrea Soltoggio
Lecturer in Artificial Intelligence
Department of Computer Science
Haslegrave Building, N.2.03
LE11 3TU, UK
Phone: +44 (0) 1509 635748
Email: a.soltoggio at lboro.ac.uk
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