This is information about PhD Studentships in Statistical at Xerox Research Centre Europe. Studentship Start Date no later than 30 September 2012, this scholarship will expired at Date : 3 Aug 2012.
PhD Studentships in Statistical Methodology and its Application
Ref:1197158
Ref:1197158
UCL Department / Division
Department of Statistical Science
Duration of Studentship
36 months
Stipend
£15,590 per annum
Vacancy Information
Applications are invited for two PhD funding opportunities based in the UCL Department of Statistical Science, available immediately.
The studentships are funded by UCL Impact awards held by Professor Mark Girolami in collaboration with Xerox Research Centre Europe. The awards are tenable for 36 months and cover tuition fees plus a stipend of £15,590 per annum (based on the standard UK Research Council rate with London weighting). The awards may be used to support UK and EU nationals only.
Department of Statistical Science
Duration of Studentship
36 months
Stipend
£15,590 per annum
Vacancy Information
Applications are invited for two PhD funding opportunities based in the UCL Department of Statistical Science, available immediately.
The studentships are funded by UCL Impact awards held by Professor Mark Girolami in collaboration with Xerox Research Centre Europe. The awards are tenable for 36 months and cover tuition fees plus a stipend of £15,590 per annum (based on the standard UK Research Council rate with London weighting). The awards may be used to support UK and EU nationals only.
The research will be carried out in close collaboration with Dr
Cedric Archambeau and Dr Guillaume Bouchard. The successful candidates
will have the opportunity to visit Xerox Research Centre Europe on a
regular basis.
Description :
Advanced Monte Carlo Methods for Images and Text. The Bayesian
framework for statistical inference is largely dependent on numerical
simulation for all but the most straightforward of statistical models.
In the probabilistic representation of digital documents comprised of
texts, images and embedded information, sophisticated statistical models
are often required. It is hugely challenging to perform simulation
based inference over these classes of models due to a variety of factors
such as (1) exceedingly high number of parameters in the model, (2) the
discrete nature of the configuration space, (3) lack of strong
likelihood-based identifiability and (4) strong posterior correlation of
parameters. This project will seek to develop generic Monte Carlo
sampling methods that address some of the issues listed above.
Probabilistic Models for Adaptive Content Creation. This research
project will focus on the development of structured prediction models to
build document templates and learn to customize texts or sentences
according to user preferences and habits. Conditional language models to
generate human readable text based on the specific target application
and device appropriate algorithms for the generation of small pieces of
text, such as introductory sentences will also be developed. This
project will draw upon recent advances in Natural Language Processing
tools, Machine Learning algorithms and Stochastic Optimization
techniques, in developing intelligent document creation tools.
Person Specification :
The requirement for admission to the MPhil/PhD in Statistical Science is a 1st class or high upper 2nd class BSc degree, or an MSc with merit or distinction in Mathematics, Statistics, Computer Science, or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable.
The requirement for admission to the MPhil/PhD in Statistical Science is a 1st class or high upper 2nd class BSc degree, or an MSc with merit or distinction in Mathematics, Statistics, Computer Science, or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable.
Eligibility :
Candidates should apply for the MPhil/PhD in Statistical Science in the
usual way by completing the online form and, in addition, send an
up-to-date CV and covering letter directly to the Department making
their case for the funding. The CV and covering letter should be sent to
Dr Russell Evans at the email address below.
Please note that while the closing date given below refers to the
general admissions deadline, applications will be considered on a
rolling basis and the process will close as soon as both studentships
are filled. You are therefore advised to apply as soon as possible.
Contact name : Dr Russell Evans
Contact details : russell@stats.ucl.ac.uk
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