PhD-student in Mathematical Statistics at the department of Mathematics and Mathematical Statistics. Starting date September 1, 2008, or by agreement.
The post-graduate student will work in a research group in stochastic processes and numeric analysis of random functions, with applications to signal and image processing and to simulation techniques. Current research areas also include financial mathematics, stochastic modeling for databases, and data mining. The mathematics which the group focuses on is stochastic processes, inference for random functions, and approximation theory. Programming in, for example, Splus and
Matlab, will be a natural part of the PhD program.
A suitable background for the applicant is primarily undergraduate studies in mathematical statistics. The application should include a Curriculum Vitae, a short description of experiences that make you suitable for the position and why you are interested, copies of degree certificates, relevant publications, and contact details of at least two academic references. The department encourages women applicants.
For further information, please contact Associate Professor Oleg Seleznjev, phone +46 90-786 9918, oleg.seleznjev@ math.umu. se, Head of Department Anders Fällström (anders.fallstrom@ math.umu. se), phone + 46 90-786 5376, and Head of graduate school Sara Sjöstedt-de Luna (sara@math.umu. se), phone +46 90-786 5129. For a general presentation of the department, see www.math.umu. se. See also the International office, www.umu.se/studentc entrum/verksamhe t/intoffice/ index.html for a general presentation of Umeå and the University.
Union-related information is available from SACO, phone +46 90-786 5153, SEKO-civil, phone +46 90-786 5296 and also TCO/ST-ATF, phone +46 90-786 5431.
The application, marked with the reference number dnr 313-1470-08 of the position should be sent to jobb@umu.se or Umeå university, Registrator, 901 87 Umeå. Application deadline: May 8, 2008
website link:
http://www.math. umu.se/Aktuellt/ Vacancies/ AnnonsDoktorand0 804MSEngN. pdf
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