Phd vacancy mathematical statistics Hasselt University

At the UHasselt, we have a position for a PhD student in mathematical statistics.
Anneleen Verhasselt

T +32(0)11 26 82 55

www.censtat.uhasselt.be
Centrum voor Statistiek
Universiteit Hasselt | Campus Diepenbeek
Agoralaan Gebouw D | B-3590 Diepenbeek

The Faculty of Sciences of Hasselt University seeks a (m/f)

PhD student Mathematical Statistics

Background
www.ibiostat.be

Task description
You prepare a doctoral thesis in the field of Mathematical Statistics.
Nowadays statisticians are confronted with complex data (large number of variables, different types of incompleteness, measurement errors, outliers, …) coming from a variety of scientific fields. Although research questions are specific for each scientific field, they do have statistical modeling as important common tool, i.e. they all try to understand and unravel the relation between a response of interest and explanatory variables taking into account the specific complexity of the data at hand. In this project the relation between a response and explanatory variables is modeled in a flexible way for complex data.

Profile
You can submit outstanding academic results;
You are intrinsically motivated, think analytically and creatively, and work in an organized and focused manner;
You have a strong interest in (mathematical) statistics (methodological research as well as applications to real data and computer simulations);
You have a good knowledge of written and spoken English.
Diploma
Master in Mathematics, (Bio-)Statistics or Engineering (or equivalent).
Employment
Scholarship for a period of 2 x 2 years (with evaluation after 2 years).

Further information
Content job responsibilities:
Prof. dr. Anneleen VERHASSELT, +32-11-268278, This email address is being protected from spambots. You need JavaScript enabled to view it.
Content terms of employment and selection procedure:
http://www.uhasselt.be/jobs

Application
You can only apply online up to and including 19 May 2014.
Selection procedure
Preselection on the basis of CV. Interview with the selected candidates.