UNIVERSITY OF KENT
Canterbury
Fully funded PhD studentships in STATISTCS.
The School of Mathematics, Statistics and Actuarial Science is offering
fully funded studentships for PhD study. The Statistics group wishes to
encourage applicants for these competitively allocated studentships. The
successful candidates will be expected to start their study in September
2010.
The studentships are for 3.5 years study and are open to UK and EU
candidates. For home students, the studentship includes full academic fees
and a maintenance grant.
Applicants should have a first or an upper-second class BSc honours degree
(or equivalent) in Mathematics, Statistics or a related subject. MMath or
MSc in a relevant area of Mathematics or Statistics would be an advantage.
Applications are invited for a PhD in any area of Statistics or Probability
in which there is expertise in the Department. Possible research topics include
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Full Bayesian wavelet block thresholding method for curve estimation;
Robust wavelet estimation for unknown noise distribution;
Time series modelling with distributionally time-varying innovations;
Methods for detecting Drug effects using EEG data;
Statistical modelling of infectious diseases;
Parameter redundancy in Ecological Models;
Bayesian methods;
Time series;
Stochastic Processes and their applications in queueing or insurance;
New models for camera-trapping data.
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For further information please visit
http://www.kent.ac.uk/ims/statistics/index.html
and
http://www.kent.ac.uk/IMS/personal/ak96/Methods_for_the_detection_of_Drug_Effects_using_EEG_Data_v6.pdf
for the topic on drug effects using EEG data.
Interested candidates should apply online at
http://records.kent.ac.uk/external/admissions/pg_application.php
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
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