Dear all,
The Division of Mathematical Statistics at Lund University, Sweden,
seeks up to 2 new PhD students.
-- Last date for application: Friday 8 May, 2009.
-- Full advertisement available at
http://www.science.lu.se/the-faculty/vacant-positions
Summary below.
Description of duties* *
PhD-studies in Mathematical Statistics, comprising in total two years
of course work and two years of thesis work. Usually 20% of the time
is dedicated to work at the department, mainly teaching. Within the
Division of Mathematical Statistics, research is done in probability theory
and statistical inference theory, modelling and analysis of stochastic
systems, extremes and reliability, random graphs, statistical signal
processing, spatial
statistics and statistical image analysis.
Examples of research areas for the current vacancies include:
-- Random networks: structure, connectivity, thermodynamic limits,
phase transitions;
-- Theory for non-parametric inference: inference under qualitative
constraints like order restrictions, limit distributions of statistical
functionals
for dependent data, applications to medicine, biology and spectral
estimation;
-- Extreme value distributions: inference for multivariate extreme value
distributions, inference for extreme quantiles in high-dimensional
distributions, prediction of extreme events, applications to modelling
of wind, storm damage
and operational risk;
-- Simulation of stochastic differential equations driven by Levy noise:
fixed,
adaptive and optimal designs of discretisation points in time and space,
inference for discretely observed processes, control and optimisation
problems under parameter uncertainty;
– Monte Carlo-based smoothing and inference in state-space models and
partially
observed diffusion processes; adaptive methods for sequential Monte Carlo:
algorithms and theory.
Specific qualifications* *
In addition to the basic qualifications for postgraduate studies, 60
ECST credits are
required in mathematical subjects, of which at least 30 ECTS credits in
mathematical
statistics. A degree project comprising 30 ECTS credits is also required.
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