PhD Position in Applied Statistics, Aarhus University
website link:
http://gbi.agrsci.dk/~rsl/PhDEventHistoryQGenetics/
PhD position in Applied Statistics in Quantitative Genetics
at the Aarhus University, DJF, Department of Genetics and Biotechnology
Research Group for Bioinformatics, Genetics and Statistics
Closing date for applications: 15 April 2009 at 12.00 noon
Project summary:
The project will develop mathematical and statistical methods for modelling
incompletely observed traits (censored or truncated) and events of low frequency
in large-scale quantitative genetic studies. The general idea is to explore the
close mathematical connection between modern methods of event-history-analysis
and nested case-control techniques to develop a range of statistical tools
relevant to applications in quantitative genetics. The project is related to an
existing research line on livestock quantitative genetics and breeding value
prediction at the Research Group of Bioinformatics, Genetics and Statistics. See
further details on the project below.
Supervision:
Rodrigo Labouriau (main supervisor), PhD (Mathematical Statistics)
Per Madsen, PhD (Quantitative Genetics)
Application procedure:
* The application should be sent in a single file in pdf format. This file
should include the application form and all the documents you want to annex for
the evaluation. We will only consider applications meeting all the requirements
stated in the official application form
* The application form can be found by clicking here.
* The closing date for applications is 15 April 2009 at 12.00 noon (Danish
time, i.e. +1 GWT)
Applications received after the closing date will not be considered!
* Please send your application to the following address: SAFE@... (or
click here to send an e-mail applying).
Selection criteria and required qualifications:
Selection criteria:
The project requires a strong background in statistics and probability theory.
It is necessary that the candidate has already had contact with formal
probability theory (e.g. axiomatic treatment of probability, stochastic
processes) and theoretical statistics (e.g. classic theory of inference in
parametric models, multivariate analysis and models for discrete variables as
log-linear models), since it will not be possible (due to time limitations) to
build-up these basic skills during the PhD program.
Computer skills and some experience with applied statistics are required.
Knowledge of general biology and specifically basic genetics will be considered
an advantage, but will not be a necessary condition.
Qualifications:
1. A relevant Master's degree (or equivalent), e.g. a master in
mathematics/statistics or a master in genetics (but in this case with a very
strong mathematical and statistical background, see the selection criteria
below)
2. Fluent English spoken and written.
Aarhus University Denmark, PhD Position in Applied Statistics
